Big Data Architect

Join our dynamic team at Cargomatic as a Senior Data Architect in Data Engineering, where you'll play a pivotal role in designing and constructing scalable, cloud-native data infrastructures. Your work will empower analytics, machine learning, and AI-driven applications that revolutionize the local trucking industry.In this fast-paced environment, you'll leverage your deep expertise in data architecture alongside hands-on experience with modern data platforms and LLM-enabled application development. You will be responsible for leading the design of enterprise-grade data models, architecting RAG systems, implementing agentic workflows, and integrating secure, production-ready LLM capabilities into our ecosystem. This high-impact position offers significant ownership and visibility, allowing you to shape the future of intelligent logistics technology.

We are seeking an experienced Senior Data Architect to join our innovative team at Oura. In this pivotal role, you will be responsible for designing and implementing robust data architectures that support our mission to deliver cutting-edge health and wellness solutions. As a key player in our data strategy, you will work closely with cross-functional teams to ensure the integrity, security, and accessibility of our data.

Join usm2 as a Senior Data Modeler / Data Architect with expertise in Big Data and Hadoop. In this pivotal role, you will harness the power of data to drive strategic decisions and enhance business outcomes. Your experience with data modeling and architecture will be essential in building robust data ecosystems.

Join Our Mission to Empower Communities!At GoFundMe, we are the world’s leading platform dedicated to harnessing the power of community to help individuals support one another. Since our inception in 2010, we have facilitated the raising of over $40 billion for various causes, uniting both individuals and nonprofits in a safe and secure environment.We are on the lookout for a Senior Staff Data Platform Architect to become an integral part of our Data Platform team. In this critical role, you will lead the modernization of our existing data platform and architect a scalable data, reporting, and AI ecosystem that not only enhances our product offerings but also meets evolving business needs. Your vision will shape a robust, secure, and future-ready cloud-native data architecture. By establishing best practices, optimizing performance, and collaborating across teams, you will empower GoFundMe to leverage data as a strategic asset for insights, innovation, and sustainable growth.This position is based in the San Francisco Bay Area, with an in-office requirement of 3 times a week.

About Juniper SquareJuniper Square is on a mission to democratize private markets by enhancing access to privately owned assets such as commercial real estate, private equity, and venture capital. With these assets representing a significant portion of the financial ecosystem, we are committed to digitizing these markets to foster efficiency, transparency, and wider accessibility. If you are passionate about leveraging technology to create a positive impact in the world, we invite you to join our values-driven organization.At Juniper Square, we embrace diverse work arrangements, offering opportunities for fully remote work or full-time office engagement. With a strong focus on digital-first operations, our teams collaborate seamlessly across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England. We also maintain physical offices in San Francisco, New York City, Mumbai, and Bangalore for those who prefer an in-person work environment.Your RoleWe are looking for a Data Engineering Architect who will spearhead the evolution of our data engineering and analytics functions into a cutting-edge, scalable, and product-centric Data Platform organization. You will be responsible for defining the vision, architecture, operational model, and execution roadmap necessary to transition from traditional project-based data delivery to a self-service, reliable, governed, and analytics-ready data platform across the organization.This is a hands-on leadership position requiring a technical expert who will actively design systems, prototype solutions, review code, and guide teams through intricate challenges. You will be tasked with modernizing our data stack, establishing platform standards, implementing best practices for reliability and governance, and empowering teams to develop data products efficiently and securely.In addition to platform transformation, you will ensure that the data ecosystem provides high-quality analytics and actionable insights. You will architect solutions for data ingestion, processing, modeling, semantic layers, analytics, and AI/ML enablement, ensuring that data is trustworthy, accessible, secure, and high-performing.Collaboration with engineering leadership, product teams, analytics, and executive stakeholders will be vital to align technology strategy with business objectives, mentor engineers, and cultivate a data-driven culture. Success in this role goes beyond delivering a modern platform; it involves enhancing the team's capabilities and fostering an innovative environment.

We are seeking a talented Big Data Architect to join our dynamic team at Sonsoft Inc. in San Francisco. In this role, you will be responsible for designing and implementing robust data architectures that support our data-driven initiatives. You will work closely with cross-functional teams to ensure that our data architecture aligns with business goals and delivers high-quality data solutions.

Join our dynamic team at Cayuse Talent Solutions as an Azure Data Architect. We are seeking a highly skilled professional with a proven history of developing scalable and efficient data platforms on Azure. This role involves leading architectural projects and providing expert guidance on Azure data services.Key Responsibilities:Oversee the architectural design and implementation of various data projects.Act as a Subject Matter Expert (SME) on Azure data services.Design data schemas using Azure Synapse.Establish a secure, scalable, and high-performance Azure environment.Devise comprehensive data platform designs and architectures.Ensure compliance with data governance and access control standards.Translate complex business requirements into actionable data strategies.Guide clients through data workshops to achieve their business objectives.Serve as a trusted advisor to customers.Utilize your knowledge of Big Data architectural patterns to inform decision-making.Work effectively in an agile environment and drive optimization initiatives for the Data Platform.Engage in presales activities with a proven track record.

Join Sonsoft Inc. as a Big Data Architect in the vibrant city of San Francisco. We are looking for an innovative and experienced professional to lead our data architecture initiatives. In this role, you will design and implement scalable data solutions that empower our clients to make data-driven decisions.

Join Sonsoft Inc. as a Microsoft Data Architect, where you will leverage your expertise in data architecture to design and implement robust solutions that drive business intelligence and data analytics. You will work closely with cross-functional teams to ensure data integrity and accessibility while adopting best practices in data governance.

At Gong, we leverage cutting-edge AI technology to revolutionize how revenue teams achieve success. Our Gong Revenue AI Operating System seamlessly integrates data, insights, and workflows into one reliable platform, empowering the world's leading revenue teams to observe, guide, and act with unparalleled effectiveness. With the Gong Revenue Graph at its core, our AI-driven intelligence, specialized agents, and trusted applications support over 5,000 companies globally, enabling them to gain deeper insights into their teams and customers, automate essential sales processes, and close deals with greater efficiency. For additional information, visit www.gong.io.Joining Gong means becoming part of a dynamic organization driven by innovation, ambitious aspirations, and dedicated individuals. We are at the forefront of shaping the future of revenue intelligence and seek those who are eager to contribute to what's next. Collaborate with a team that dreams big, moves swiftly, and values craftsmanship and camaraderie. Transparency and trust are fundamental to our operations, and every team member has the chance to make a significant impact. If you are ready to grow, challenge yourself, and engage in meaningful work, Gong is where you can achieve the pinnacle of your career.The GTM Data Architect is responsible for the comprehensive strategy, governance, and execution of data orchestration, enrichment, control, and activation within the GTM organization. This key role guarantees that data is not only accurate but also usable, scalable, and seamlessly integrated into workflows that enhance adoption and performance. You will act as the primary owner of account and lead data strategy, connecting RevOps, Field Ops, Systems, Sales, Marketing, and AI/Automation teams to establish a forward-thinking, execution-ready data foundation.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.

At Plaid, we envision a future where financial interactions are seamless and intuitive. We are committed to driving this evolution by crafting innovative tools and experiences that empower thousands of developers to build their own applications. Our platform supports millions of users in achieving healthier financial lives by connecting their financial accounts with the apps and services they love. Collaborating with industry leaders like Venmo, SoFi, numerous Fortune 500 companies, and major banks, Plaid's extensive network encompasses over 12,000 financial institutions across the United States, Canada, the UK, and Europe. Established in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam. #LI-HybridAs a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, which is focused on developing robust golden datasets to enhance our insights-driven product offerings. Data-driven decision-making is at the heart of Plaid's culture, and your expertise will help us scale our data systems while ensuring data accuracy and integrity. You will provide essential tooling and guidance to various teams across engineering, product, and business, enabling them to access and utilize data effectively. Our engineers rely heavily on SQL and Python to create data workflows, employing tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines and defining workflows. Collaborating closely with engineers, product managers, business intelligence, and data analysts, you will contribute to shaping Plaid's data strategy and fostering a data-first mindset. We thrive on an engineering culture that values individual contributions, encouraging bottom-up ideation and empowering our talented team. We seek engineers passionate about making a meaningful impact for our users and customers while growing together as a cohesive team, delivering MVPs, and continuously improving our processes.In this high-impact position, you will empower business leaders to make faster, more informed decisions based on the datasets you create. You will have the opportunity to define the ownership and scope of internal datasets and visualizations across Plaid, an area we aim to develop further by establishing SLAs. This role presents a unique chance to enhance your technical skills and learn best practices from our strong Data Engineering team and the broader Data Platform team. You will collaborate extensively across all teams at Plaid, from Engineering to Product to Marketing and Finance, forging strong cross-functional partnerships.

Join Sonsoft Inc. as a Big Data Architect and play a pivotal role in shaping our data-driven solutions. We are seeking a talented professional who will design and implement robust data architectures that support our analytics and business objectives. You will work closely with cross-functional teams to build scalable data pipelines and ensure data integrity across our platforms.

About tvScientific tvScientific is the pioneering CTV advertising platform specifically designed for performance marketers. We harness extensive data and advanced technologies to automate and enhance TV advertising, ultimately driving measurable business results. Our platform seamlessly integrates media buying, optimization, measurement, and attribution into a single, efficient solution. Developed by industry veterans with deep expertise in programmatic advertising, digital media, and ad verification, our CTV performance platform offers advertisers a reliable avenue to expand their business. As a Senior Data Engineer at tvScientific, you will play a crucial role in establishing the robust data infrastructure that supports our data-intensive operations. You will work in collaboration with cross-functional teams to refine our core data pipelines, ensuring efficient scaling as we grow, and optimizing data storage solutions. This individual contributor role requires you to define and execute a strategic vision for data engineering within the company. Key Responsibilities: Develop and implement a robust data infrastructure in AWS, utilizing Spark with Scala. Enhance our core data pipelines to efficiently accommodate our significant growth. Optimize data storage solutions in appropriate engines and formats. Collaborate with cross-functional teams to design data solutions that align with business objectives. Construct fault-tolerant batch and streaming data pipelines. Leverage and optimize AWS resources while scaling design. Work closely with Data Science and Product teams to achieve collective goals. Success Metrics: Successful establishment of scalable and efficient data infrastructure. Timely delivery and optimization of data assets and APIs. High attention to detail in the implementation of automated data quality checks. Effective collaboration with cross-functional teams. What We’re Looking For: Proven experience in production data engineering. Expertise in Spark and Scala, with a track record of building data infrastructure using these technologies. Familiarity with data lakes, cloud warehouses, and various storage formats. Strong proficiency in AWS services. Advanced SQL skills for data manipulation and extraction. Exceptional written and verbal communication abilities. Bachelor's degree in Computer Science or a related discipline. Nice to have: Experience with additional data processing frameworks.

Join our dynamic team at Sonsoft Inc., a leading technology consulting firm, as a Big Data Architect. In this pivotal role, you will design and implement scalable big data solutions that empower organizations to harness the power of data. Collaborate with cross-functional teams to drive innovation and deliver high-impact projects.

FEQ127R13 We invite exceptionally qualified candidates from various locations on the East Coast to apply for this exciting opportunity. Mission As a Senior Solutions Architect at Databricks, you will play a pivotal role in advancing the Databricks Data Intelligence Platform. Our team is well-versed in cloud technologies, data engineering, analytics, data science, machine learning, and AI. You will leverage open source projects like Apache Spark™, Delta Lake, and MLflow to enhance your expertise and contribute to the success of our customers. This is a customer-facing position where you will collaborate with clients, team members, product teams, post-sales support, and partners to identify use cases, develop architecture and solutions, and guide customers through successful implementations, leading to impactful business outcomes. Building strong relationships with customers, nurturing champions, and establishing yourself as a trusted advisor will be key aspects of your role. You will report to a Field Engineering Manager within our Financial Services team. Your Impact: Collaborate with the sales team to demonstrate how Databricks can address customer challenges. Provide technical leadership to clients in evaluating and adopting Databricks. Consult on big data architecture, execute proof of concepts for strategic projects, and validate integrations with cloud services and third-party applications. Create and present reference architectures, how-tos, and application demonstrations for clients. Promote open source projects (Apache Spark™, Delta Lake, MLflow, Unity Catalog) within developer communities through meetups, conferences, and webinars. Travel to meet customers in your designated territory. What We Are Looking For: 10+ years in a customer-facing pre-sales or consulting role, ideally with big data technologies addressing data engineering and analytics challenges. Proven experience in designing and architecting distributed data systems. Proficient in programming and debugging in at least one of the following: Python, SQL, Scala, Java, or R. Experience with global system integrators, consulting firms, or technology providers in the financial services sector is a plus. Hands-on experience building solutions with major public cloud providers like AWS, Azure, or GCP. Familiarity with Data Engineering technologies such as Spark, Hadoop, or Kafka.

About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.