Senior Data Engineer I

About Saaf AIAt Saaf AI, we are revolutionizing the mortgage lending landscape by harnessing the power of advanced artificial intelligence coupled with established lending practices. As a fintech startup integrated into American Heritage Lending—one of the nation's top ten private lenders, managing billions in loan volume across various programs—we are supported by some of the largest asset management firms and investment funds.Our team is fundamentally AI-driven. Every engineer, product decision, and operational workflow is meticulously crafted to answer the question: “How can AI enhance efficiency, intelligence, and reliability?” If you are eager to expand the horizons of your expertise by utilizing the most advanced AI tools and methodologies daily, this role places you at the forefront of data architecture and analytics engineering as we move into 2026 and beyond.The RoleWe are seeking a Senior Data Architect & Analytics Engineer to lead the development and enhancement of our analytics data platform. As our first dedicated data hire, you will be a hands-on architect responsible for shaping how data drives decisions across underwriting, sales, and operations.While the foundational work has been laid, the most thrilling and impactful challenges are still ahead. You will take charge of a platform ripe for growth: developing entity resolution across disparate real estate data, designing enrichment pipelines that convert raw data into actionable insights, constructing the semantic layer essential for AI-driven analytics, and refining the architecture as we expand into new loan programs and data sources.This role is ideal for you if:You have built and managed a comprehensive modern analytics stack from start to finish, rather than simply contributing to one.Data integrity is your top priority from the outset—not an afterthought.You thrive on enhancing a robust foundation and are driven to achieve ambitious goals.You aspire to be the key data figure in a rapidly growing company—enjoying high ownership, significant impact, and a clear trajectory to team leadership.What You’ll OwnAnalytics Platform — Build It, Run It, Evolve ItTake complete ownership of the production data pipeline—from ingesting external real estate and borrower data to transforming it through a multi-layered model (staging → enrichment → business-ready marts) while ensuring its reliability.Create and maintain the semantic layer—comprising model descriptions, metric definitions, and metadata that fuel BI dashboards, AI assistants, and self-service analytics.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.

About the RoleWe are looking for a talented Senior Data Architect / Application Engineer to become a pivotal part of our dynamic team. In this role, you will design, develop, and maintain robust data platforms and application infrastructure. Your expertise will drive innovative data solutions while ensuring the reliability, security, and performance of our platforms.Location: New York City, NY (Hybrid – 3 days onsite)Interview Process: In-person interview required in NYC.Work Authorization: Only W2 candidates will be considered. C2C is allowed only if the candidate is a US Citizen or Green Card holder with their own corporation.Key ResponsibilitiesLead architecture and technical design discussions leveraging industry best practices and cutting-edge technologies.Support production operations and troubleshoot complex issues within the Credit Risk application platform.Design and implement batch and ad-hoc data pipelines utilizing Medallion Lakehouse architecture on modern cloud platforms, primarily Databricks.Build and maintain data ingestion pipelines from upstream systems into object storage (e.g., S3, ADLS) using formats like Parquet, including partitioning, z-ordering, and schema evolution.Integrate with external XVA / risk engines to expand analytical capabilities.

About Us:At DailyPay, we are revolutionizing the payment landscape. As a leading worktech company and the foremost solution for on-demand pay, we leverage our award-winning technology platform to empower top employers across America in fostering stronger relationships with their employees. Our innovative voluntary employee benefit enhances workforce motivation, encouraging employees to perform better and remain committed while supporting their financial health outside of work.With our headquarters in New York City and operations extending throughout the United States and Belfast, we invite you to explore more at DailyPay's Press Center.The Role:We are seeking a Senior Data Analyst to join our dynamic Data Team! In this pivotal role, you will harness diverse data sources to extract actionable insights and formulate strategic recommendations that drive business value. Collaborating closely with internal teams such as Sales, Marketing, Product, and Customer Success, you will also play a crucial part in enhancing client success by contributing to the development of customer-facing data products and analytics.The mission of the Data Team is vital to the ongoing evolution and success of our product, addressing the needs of our customers and partners while ensuring DailyPay's leadership in the early wage access industry. As a Senior Data Analyst, you will be instrumental in realizing this vision.If you're passionate about data and its impact, we encourage you to apply even if you feel you don't meet every single qualification.Your Impact:Lead Advanced Analytics Initiatives: Take charge of complex analytics projects, proactively identifying opportunities to deliver actionable insights that influence strategic business outcomes.Translate Data into Strategic Recommendations: Move beyond mere reporting by providing comprehensive analyses and clear, data-driven recommendations that shape critical business decisions.Cross-Functional Collaboration: Work alongside stakeholders across various departments to understand their needs, define requirements, and deliver impactful analytics solutions.Mentoring and Leadership: Foster the development and training of the analytics team in strategic problem-solving skills.What You Bring:Proven Experience: Demonstrated expertise in data analytics with a strong ability to interpret and analyze complex data sets.Technical Proficiency: Familiarity with analytics tools and software, as well as programming languages such as SQL or Python.Strong Communication Skills: Ability to convey complex ideas clearly to stakeholders at all levels.

Role overview Legora seeks a Senior Analytics Engineer with a finance focus for its New York City office. This role shapes how data informs financial decisions and improves company operations. The position sits at the intersection of analytics and finance, supporting business growth through data-driven insights. What you will do Develop complex financial models that assist with planning and strategic decisions Analyze financial and operational data to identify trends and highlight areas for improvement Collaborate with finance teams to design and implement analytical frameworks Present actionable insights to stakeholders across the organization Requirements Advanced analytics skills, particularly in financial settings Proven experience building financial models and frameworks Strong problem-solving capabilities Ability to communicate findings to both technical and non-technical audiences Those who excel at turning financial data into clear decisions and enjoy close collaboration with finance teams are encouraged to apply.

About SafeLeaseAt SafeLease, we are transforming the landscape of property and casualty insurance amidst rapid technological advancements. We recognize that the most significant inefficiencies in the industry are not rooted in technology but in structural aspects. Our mission is to assemble a dynamic team to address these challenges head-on.As a profitable insurance provider, SafeLease specializes in designing, underwriting, and distributing tailored coverage solutions for commercial property owners and their tenants. Unlike typical insurance firms that either distribute products or assume risks, we do both. We underwrite our policies using our own capital, granting us control over every aspect—from product design to technology, and the pace of our operations. This comprehensive control allows us to provide our clients with genuine flexibility, resulting in time and cost savings for over 4,000 properties insured nationwide, valued in the billions.With a robust team of 70 professionals and an impressive annual growth rate exceeding 100%, we prioritize maintaining profitability and a positive workplace culture. Here, you will enjoy significant autonomy while tackling a diverse array of challenges. We adopt the latest technologies, act swiftly in our decision-making, and foster a company atmosphere akin to a startup where every team member’s contributions are recognized. If you seek an environment that allows you to hone your skills alongside dedicated professionals, you will find your place with us.Location: New York City or Austin, TX - (Hybrid)Department: Data & AnalyticsReports To: CEOWe are in a phase of rapid expansion and need a visionary leader to develop and guide the data and analytics team, propelling our next growth stage. This is a pivotal position with direct involvement in leadership discussions.Position OverviewWe are in search of an exceptionally strategic and hands-on Senior Vice President of Data & Analytics to spearhead our analytics initiatives across the organization. This executive will oversee the comprehensive analytics function—including data management, collection, insights, reporting, and advanced strategic planning—encompassing both our real estate investment portfolio and insurance operations.The ideal candidate will be proactive, capable of working independently, and able to deliver impactful results without extensive support or existing infrastructure. They will establish the vision for our analytics strategy, ensuring that the company utilizes data effectively to facilitate informed, high-velocity decision-making.

About ForaFora is the modern travel agency that empowers travel enthusiasts to establish successful advisory businesses. We are revolutionizing the $100B+ travel agency sector by integrating advanced technology, insightful data, and a supportive community, enabling countless entrepreneurs to thrive on our platform. Our all-in-one platform equips travel entrepreneurs with everything necessary to launch and grow their business, ranging from state-of-the-art tools and personalized training to a dynamic community and exclusive industry partnerships. Our mission is to assist the new wave of travel entrepreneurs in transforming their passion for travel into a rewarding career, whether they choose to work full-time or part-time. We believe that everyone, from veteran professionals to first-time advisors, can create something that is both lucrative and personal.Founded in 2021 by experienced entrepreneurs, Fora has steadily expanded to a dedicated team of 200+ full-time employees located in the heart of New York City. In 2025, we announced our $60 million Series B and C funding rounds, led by Thrive Capital and Insight Partners, with contributions from previous investors including Forerunner and Heartcore Capital. We have also garnered accolades as a LinkedIn Top Startup 2024, Fast Company’s Most Innovative Companies in 2023 and 2025, and Built In's Best Places to Work 2025.We are creating the first genuinely integrated platform for all travel needs—harnessing the best of human expertise and technology to revolutionize how people plan and book travel.About The RoleFora is seeking its inaugural Senior Analytics Engineer to enhance the scalability of our data modeling, curation, and delivery across the organization. As our centralized data team expands, we aim to find a committed leader for the analytics transformation and metrics layer, ensuring that analysts and stakeholders have access to timely, reliable, and actionable insights.This pivotal role will involve establishing analytics engineering standards, developing trusted data marts and metric definitions, and enhancing data quality and performance throughout Fora's data stack. This position reports to the Director of Data & Analytics and collaborates closely with partners in Engineering, Product, Finance, and Growth.

About RebarRebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.Proficient in Python, skilled in SQL, and experienced with Data Warehousing.Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.Proficient in writing modular, testable analytics code and familiar with version control environments.Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.Experience in building data visualizations and dashboards.1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.ResponsibilitiesDesign and develop data-driven product features utilizing Rebar’s historical datasets.Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...

Join The New York Times as an Engineering Manager, spearheading the Analytics Environment team within our Data Platform division. In this pivotal role, you will cultivate a dynamic, secure analytics and data prototyping environment that empowers users across the organization to unearth insights and conduct in-depth analyses. This position is based in our vibrant New York City headquarters and offers a hybrid working model.

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

At PermitFlow, we are transforming the construction landscape across America. As a pioneering applied AI firm, we address one of the most significant information challenges facing the industry: understanding what can be built, where, and how. Our innovative AI-driven solutions empower the nation's builders, enabling them to navigate complex processes from permitting to inspections, thereby accelerating housing, clean energy, and infrastructure projects nationwide.The construction sector, valued at $1.6 trillion, is plagued by inefficiencies, such as significant delays and squandered resources. PermitFlow has already enhanced the speed, accuracy, and transparency of over $20 billion in developments, allowing contractors to minimize compliance time, mitigate risks, and confidently scale their operations.As the U.S. embarks on a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy projects, joining PermitFlow means being at the forefront of building the AI infrastructure essential for every construction endeavor, propelling the next wave of reindustrialization.With over $90 million raised, including our recent Series B funding from distinguished investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, we are backed by leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, and we operate under a hybrid work model (3 days in-office per week). We welcome candidates based in NYC or those willing to relocate.

The City of New York is hiring a Senior Data Analyst to join the Division of Strategic Operations & Analytics. This role centers on using data to improve how city services operate and to inform important policy decisions. Key responsibilities Collaborate with teams across multiple departments to identify and analyze relevant data sources Extract actionable insights from complex datasets to support strategic planning efforts Build data models designed to measure and enhance operational efficiency Communicate findings and recommendations to stakeholders at different levels of the organization Location This position is based in New York City.

At PermitFlow, we are revolutionizing the construction industry in America through the power of applied AI. Our innovative solutions address one of the largest challenges in the economy: deciphering what can be built, where, and how. Our AI-driven workforce empowers leading construction firms by streamlining processes from permitting and licensing to inspections and project completions, thereby accelerating progress in housing, clean energy, and infrastructure development nationwide.Despite being a robust $1.6 trillion industry, construction faces significant hurdles such as delays, capital wastage, and missed opportunities. PermitFlow has transformed over $20 billion in projects, delivering unmatched speed, accuracy, and visibility, which enables contractors to minimize compliance time, mitigate risks, and scale confidently.As America embarks on a CAPEX super-cycle, encompassing everything from data centers to renewable energy, joining PermitFlow means being at the forefront of AI technology that drives the next wave of industrial growth.With over $90 million raised, including our recent Series B funding from prestigious investors like Accel, Kleiner Perkins, Initialized, and Y Combinator, we have the backing of industry leaders from OpenAI, Google, Procore, and more.Our headquarters are located in New York City, and we offer a hybrid working model (3 in-office days per week). We encourage applications from NYC-based candidates or those willing to relocate.Role OverviewWe are seeking a driven and skilled Analytics Engineer to join our dynamic team. In this pivotal role, you will design, construct, and maintain robust data infrastructures that facilitate scalable and actionable business intelligence. Collaborating closely with engineering, product teams, and stakeholders, you will ensure data integrity, enhance analytics processes, and support informed decision-making across the organization.What You'll DoDevelop and implement scalable data models tailored for analytics and comprehensive company reporting, continuously evolving them to align with changing business requirements.Create and manage efficient data pipelines to transform datasets for analytics purposes.Work collaboratively with product and engineering teams to integrate data from diverse sources, including PermitFlow’s CRM, third-party vendors, and internal systems, while optimizing for performance and reliability.

ABOUT THE ROLEJoin our dynamic team as a Staff Data Architect and shape the future of data architecture! In this pivotal role, you will be responsible for the architecture of domain-scale data systems. You will define the target architecture for your domain, set enforceable standards and data contracts, and empower various teams to create governed, reliable, and reusable data products. You’ll ensure high-quality architecture decisions, semantic consistency, and the adoption of shared patterns across your domain, influencing how data is designed and governed. Your focus will be on creating a scalable and consistent architecture that enhances data delivery. YOUR GAME PLANEvery team member plays a crucial role! Define and maintain a North Star architecture and multi-quarter roadmap in line with business priorities. Establish and enforce data modeling standards, canonical definitions, and schema evolution practices. Define and operationalize data product contracts, including ownership, quality expectations, and versioning discipline. Lead architecture governance and design reviews at the domain level, ensuring all decisions are documented and stakeholder concerns addressed. Engage in hands-on prototyping and framework building to drive MVP execution. Define scalable Lakehouse and platform patterns using Databricks, aligned with performance, cost, reliability, and security requirements. Embed data quality, metadata, lineage, and compliance into architectural standards from the outset. Lead strategies for domain migration and deprecation to reduce technical debt and long-term risk. Collaborate across Data Engineering, Product Engineering, Product, Security, Governance, Analytics, and other stakeholders to translate business intent into actionable architectural direction. Influence the adoption of architectural standards across multiple teams without direct authority.

Join Alloy and Make a Difference! At Alloy, we tackle the identity risk challenges faced by companies offering financial products. We empower over 800 of the world's leading financial institutions and fintechs to combat fraud, manage credit, and ensure compliance risk, all while enhancing their understanding of their customers. Our core values—Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences—foster a nurturing work environment where you can excel and feel a true sense of belonging. Year after year, we have been acknowledged as one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, and recognized as a Best Fintech to Work for by American Banker. To learn more about our mission and values, visit us here.

Location: New York City, NY (Hybrid schedule: 2 days onsite per week) Role Overview The Senior Manager, Analytics and Insight at Weedmaps leads a team focused on transforming data into clear, actionable recommendations for departments across the company. Reporting to the VP of Data, this position bridges technical data systems and business strategy. The team’s work moves beyond basic reporting, aiming to deliver proactive insights that guide decisions. This role is responsible for fostering a high-autonomy environment, maintaining accurate metrics, enabling self-service analytics at scale, and serving as trusted advisors to business leaders. What You Will Do Shape and drive the analytics strategy for business intelligence, analytics, and data science, ensuring alignment with company OKRs and CTO-level priorities. Oversee the organization’s metrics framework, maintaining consistency, accuracy, and reliability of KPIs across all business areas. Lead the rollout of self-service analytics, including dashboard infrastructure, semantic layers, and AI-powered tools. Deliver strategic insights that improve decision quality throughout the organization. Work closely with Engineering, Product, Finance, and Marketing to prioritize data projects and turn business questions into scalable analytics solutions. Drive improvements in team efficiency through better tooling, AI integration, and cross-functional process updates. Oversee analytics support for major business initiatives, such as ERP migrations and compliance projects. Communicate key findings and metrics insights to executive leadership and the CTO. Design and manage A/B tests and other experiments to validate product ideas. Keep current with industry trends and analytics best practices. What We’re Looking For Track record of leading and developing analytics, business intelligence, or data science teams of 6 or more. Experience with hiring, onboarding (including structured 30/60/90 day plans), performance management, and career growth for team members. Ability to build a culture of accountability, intellectual rigor, and ongoing improvement, with processes in place to support team performance.

Flex is an innovative FinTech company based in New York City, dedicated to revolutionizing the rent payment process. In a world where timely rent payments are often cumbersome and costly, we are on a mission to provide renters with a more flexible and convenient solution. Our platform allows users to manage their rent payments in a way that aligns with their financial needs, making it easier to navigate this significant recurring expense. After building a solid investor foundation and a loyal user community while maintaining a low profile, we are now inviting passionate professionals to join our growing team. Are you ready to make an impact?As a Senior Data Scientist reporting to the Director of Analytics, you will play a pivotal role in driving Flex's strategic direction by leading key analytics initiatives across various departments, including Customer Support, Finance, Marketing, Product, and Strategy. Your expertise will be crucial in unraveling complex data challenges and translating insights into actionable strategies that enhance our business performance. The ideal candidate is deeply inquisitive, maintains high analytical standards, and expertly balances the need for rigor with the urgency of delivering impactful solutions.We are actively expanding our analytics team and are particularly focused on enhancing our Product, Partnerships, and Go-To-Market efforts.

Legora seeks a Director of Data Analytics and Business Systems to lead its analytics team in New York City. This position plays a central role in shaping analytics strategies that advance company objectives. The Director will use advanced analytical techniques to improve operations and streamline business processes. Role overview This leader will set the direction for the analytics team, guiding priorities and mentoring team members. The role involves developing and executing analytics strategies that align with Legora’s business goals. Close collaboration with teams across the organization is essential to deliver insights that inform strategic decisions. Oversight of business systems management ensures effective data flow and accurate reporting. Promoting a data-driven culture is a key focus. Key responsibilities Lead and mentor the analytics team, setting direction and priorities Develop and implement analytics strategies in line with business objectives Collaborate with teams across Legora to deliver actionable insights Oversee business systems management for effective data flow and reporting Encourage data-driven decision-making throughout the company Requirements Experience in data analytics, business intelligence, and systems management Strong leadership and team management skills Ability to work with multiple departments and communicate complex findings clearly

At January, we are revolutionizing the credit landscape. Our innovative, data-driven platform is designed to restore trust, achieve tangible results, and empower millions to progress toward a brighter financial future, while also humanizing the consumer finance experience. By harnessing data intelligence, we strive to build trust and deliver improved outcomes for both consumers and creditors.Our mission is straightforward: to broaden access to credit while equipping consumers with the tools they need to attain long-lasting stability and control over their financial lives. We initiated our journey by creating a robust foundation for creditors to engage and support borrowers throughout the entire debt lifecycle. By merging exceptional performance with unique consumer satisfaction and strict compliance, we have perfected outsourced collections. Our journey is just beginning, and together we are forging a financial system where trust and opportunity catalyze enduring change in people's lives.About the RoleAs the pioneering Senior Data Engineer at January, you will redefine our approach to data utilization in expanding access to credit—not merely by fixing existing issues but by unlocking new possibilities. You will take complete ownership of our modern data stack, transforming it from a system supported sporadically by analysts and engineers into a premier platform that anticipates and facilitates our most ambitious data initiatives. You will architect the data infrastructure that empowers millions to achieve financial stability, ensuring that insights flow seamlessly from production to decision-makers. By establishing data engineering as a core discipline at January, you will allow our analysts to focus on insights while you construct the scalable foundation that propels our next growth phase.What You'll DoOwn and enhance our comprehensive data platform — transforming our Snowflake warehouse from analyst-managed to engineer-optimized while standardizing data models for customer reporting, operational dashboards, and machine learning features.Create robust, self-healing data pipelines — designing ETL processes that scale automatically with data volume, implementing monitoring systems that preemptively identify issues, and optimizing costs without compromising performance.Facilitate accessible data utilization — developing intuitive models that empower PMs, analysts, and operations teams to independently find answers while adhering to security and compliance standards.Integrate engineering with analytics — establishing feedback mechanisms between production systems and analytical demands, ensuring schema changes do not disrupt downstream dependencies, and influencing how new features generate data.Lead data initiatives — championing projects that enhance our data capabilities, contributing to strategic data-driven decisions, and mentoring junior engineers.