Manager, Software Engineering - Data Infrastructure

About TripleLiftAt TripleLift, we are redefining the digital advertising landscape through visually appealing creative, reputable publishers, actionable insights, and intelligent targeting. With over a trillion ad transactions monthly, we empower publishers and platforms to effectively monetize their offerings. Our cutting-edge technology is the preferred choice for top global brands seeking to connect with audiences across various formats, including online video, connected television, display, and native ads. Clients turn to us for our innovative solutions, premium ad formats, and a dedicated team of experts committed to maximizing their advertising performance.As a member of the Vista Equity Partners portfolio, we proudly hold NMSDC certification, meet diverse spending goals, and are devoted to promoting economic inclusion. Discover more about how TripleLift enhances the programmatic ecosystem at triplelift.com.RoleAs a prominent player in the rapidly evolving AdTech Supply Side Platform, TripleLift is on the lookout for an accomplished Data Engineering Manager to lead and expand our Data Engineering team. This team is responsible for the backbone data infrastructure that powers our AdTech Exchange. You will manage the complete lifecycle of our data pipelines and platforms, guaranteeing the efficient ingestion, storage, and retrieval of event data from diverse sources. In this dynamic role, you'll mentor and lead a talented group of data engineers, identify hiring needs to scale the team, and collaborate with stakeholders across Product, Engineering, Data Science, and Commercial teams. Your leadership will be crucial in cultivating a culture of innovation and continuous improvement, driving the team towards exceptional standards in data engineering and ensuring robust delivery performance.ResponsibilitiesLead, mentor, and nurture a high-performing, geographically distributed team of data engineers, promoting a collaborative, inclusive, and growth-oriented culture while identifying talent needs and recruiting top candidates to enhance the team.Oversee the design, implementation, and maintenance of scalable, low-latency data pipelines and platforms that process hundreds of billions of daily events, ensuring optimal ingestion, processing, and storage of high-volume, high-throughput event data.Manage data platforms, including data lakes (S3), warehouses (Snowflake), and real-time...

As a Data Engineering Manager at Afresh, you will lead a team of innovative data engineers in designing and implementing robust data solutions that drive business insights and operational efficiency. You will be responsible for overseeing data architecture, building data pipelines, and ensuring data quality across various platforms. Your expertise will be pivotal in shaping our data strategy and supporting the organization's growth.

As the Manager of Data Infrastructure at mqreferrals, you will be pivotal in shaping our data engineering landscape, directly reporting to the Director of Data Engineering. In this dynamic leadership role, you will oversee a dedicated team of 5-6 engineers tasked with managing critical data platforms that underpin our AI and analytics initiatives. This hands-on position blends technical expertise with effective people management, where you will mentor your team, facilitate agile delivery processes, and integrate product-oriented thinking into our infrastructure approach. Your leadership will be crucial in executing our data strategy and ensuring the operational excellence of platforms that handle billions of transactions each month.We embrace a Flexible First work culture, allowing this role to be performed remotely from anywhere in Ontario and British Columbia, Canada, with quarterly travel to the United States required. Join us on this exciting journey!

Chainalysis seeks an Engineering Manager to lead the Data Cloud team in Ontario. This position focuses on building secure, scalable, and reliable cloud-based data solutions. The manager will guide a team of engineers, foster innovation, and influence the technical path of ongoing projects. Key responsibilities Manage project schedules and keep cloud-based product delivery on track Mentor and support the engineering team Collaborate with other departments to deliver quality solutions Shape and refine the company’s approach to cloud technologies Lead decisions around the technical direction of data infrastructure Location This role is based in Ontario.

Role overview Kubra is looking for a Data Engineer based in Mississauga, ON. This position centers on transforming raw data into actionable insights that help guide business decisions. The Data Engineer will be responsible for the full lifecycle of data pipelines, with a focus on maintaining data quality at every stage. What you will do Design, create, and manage data pipelines to ensure consistent and reliable data flow Monitor and uphold data quality standards throughout all processes Collaborate with teams across the company to support projects that rely on data-driven solutions

Role Overview Movable Ink is hiring a Senior Data Engineer focused on Event Data for the Toronto office. This role centers on building and maintaining data pipelines that support marketing strategies for leading brands. The work involves modern data technologies and emphasizes both the reliability and accessibility of event data.

Welcome to OktaAt Okta, we are redefining identity management. We empower individuals to securely access any technology, from any device or application, fostering a transformative approach to business security and growth. Our innovative solutions, including the Okta Platform and Auth0 Platform, prioritize identity at the heart of operational success.We value diverse perspectives and experiences, seeking lifelong learners who contribute to our dynamic culture.Join us as we shape a future where identity is truly in your hands.Are you driven to tackle complex data challenges and make a significant impact? Do you want to collaborate with a passionate team of cloud engineers and architects? If yes, we want to hear from you!The Auth0 platform manages over 100 million logins daily for clients worldwide and is rapidly expanding. As part of the Data Platform team, you will be instrumental in developing and managing essential data services that enable scalability, reliability, efficiency, and operational excellence. In your role as Senior Manager, you will collaborate with engineers across departments, guide the platform roadmap, and establish the foundational infrastructure for Auth0's future growth.As a leader, your passion for developing high-performing teams and your ability to coordinate across organizations will make you an ideal fit for this position!Your Responsibilities Include:Leading a diverse, agile software development team focused on delivering value with expertise in distributed systems, cloud infrastructure, and site reliability engineering.Fostering a culture of discovery, learning, and experimentation within a geographically distributed team through continuous coaching and mentoring.Collaborating closely with architects and engineers to design scalable, robust, and extensible services using modern technologies such as Go, Node.js, Kubernetes, Docker, AWS, and Azure.Building and managing data streaming teams utilizing event-driven architecture and Kafka.Partnering with product management and engineering leadership to define a platform roadmap that supports the next generation of identity products, overseeing planning, execution, and delivery of data platform services.Implementing process improvements to drive operational excellence and efficiency during a period of significant growth.

ZoomInfo Technologies Inc. is looking for a Senior Data Engineer based in Toronto, Ontario. This position centers on transforming raw data into actionable insights that support business decision-making. Role overview As a Senior Data Engineer, collaboration with experienced team members is a key part of the job. Projects handled in this role influence how data is managed and applied throughout the company. What you will do Convert large sets of raw data into clear, usable information Support business teams by providing data-driven insights Work closely with colleagues on data-focused projects Location This role is based in Toronto, Ontario, Canada.

At Constant Contact, we embody a culture of empowerment, ownership, and integrity, reminiscent of a dedicated small business owner. Our mission is to enable individuals and organizations to achieve their dreams by providing essential tools and support for online growth. We thrive on tackling challenges and exploring new opportunities in the digital landscape.We are seeking a skilled Software Engineering Manager to lead our Customer Data Platform (CDP) team. In this role, you will oversee a talented group of software engineers, driving the successful delivery of functionalities critical to Constant Contact's strategic initiatives. Collaborating closely with the Product Owner, you will ensure effective planning and execution of projects while nurturing a culture of innovation, collaboration, and accountability within your team.Your contributions will play a pivotal role in managing the ingestion and processing of real-time streaming events, an essential aspect of our Customer Data Platform product. Your team's efforts will directly influence customer segmentation, enhance automated customer journeys, and elevate the insights and recommendations available to our clients, empowering them to excel in their marketing efforts for small to medium businesses.

Join Rockstar, a dynamic technology company on a mission to revolutionize workforce development. We are committed to creating innovative digital solutions that empower individuals and organizations to excel in today’s economy. We are currently seeking a talented Senior Data Engineer to enhance our core data platform and generate transformative business outcomes.A Senior Data Engineer will be integral to the team, contributing to the advancement of our core data platform, which encompasses data pipelines, machine learning models, and diverse databases. The ideal candidate will possess a robust combination of technical data skills and business acumen to establish a solid foundation of dependable data. Your expertise in data engineering will be crucial in developing high-performing pipelines.Your Responsibilities:- **Data Infrastructure**: Design and maintain the infrastructure that supports the data platform, including pipeline orchestration, data warehousing, and machine learning.- **Data Solutions**: Collaborate with a team of data scientists to develop and sustain data solutions that enable our products to operate efficiently and effectively at scale.- **Data Governance**: Champion best practices in data governance, ensuring data accuracy, accessibility, and compliance across all systems.- **Cross-Platform Data Integration**: Identify and integrate data from various platforms to meet real business needs in product development, engineering, and go-to-market strategies.- **Evolving Core Data Models**: Continuously enhance foundational models by pinpointing and incorporating new, high-value data sources.30/60/90 Day Strategy:30 Days:- Onboard and familiarize yourself with our stack and product.- Understand customer profiles, their challenges, and how data can be utilized to address their needs.- Gain insights into core data entities and their influence on our products.- Begin enhancing core data pipelines by adding layers for data quality and enrichment.60 Days:- Collaborate with data scientists to design datasets and processes that optimize complex workflows.- Take ownership of segments of the data catalog by defining and maintaining metrics, dimensions, and lineage.- Assist teams in extracting value from the platform’s data through consistent reporting and analysis.90 Days:- Automate reporting workflows from data ingestion to dashboard creation and tools.- Independently collect reporting and insights requirements from stakeholders.- Present findings and recommendations to stakeholders to facilitate data-driven decision-making.Required Qualifications:- Proven track record in translating ambiguous business requirements into actionable data engineering solutions.

As a Manager of Data Management at JLI Consulting, you will spearhead our data strategies to optimize and enhance client operations. You will lead a talented team, ensuring data quality, integrity, and effective utilization across various business units. Your expertise will guide the development and implementation of data management frameworks, fostering a culture of data-driven decision making.

Hello, Future Homie!At Homebase, we invite you to be part of a dynamic team that is innovative, swift, and dedicated to empowering small businesses. Our culture is built on empathy, urgency, and a passion for taking bold actions that create significant impacts. Every member at Homebase, affectionately known as a 'Homie,' is committed to elevating standards, providing support, and celebrating team victories.We're not merely developing an application; we're cultivating unstoppable teams. So, are you ready to join us?Your Impact Begins HereWe're in search of a Data Engineer who will help us revolutionize the way small businesses leverage data. This role is not just about creating data pipelines; it's an exciting chance to construct the backbone of AI-driven, rapid insights that power our innovations at Homebase.You will be responsible for developing and maintaining data pipelines, models, and reporting mechanisms that transform raw data into intelligent products and swift solutions. This position demands both technical prowess and a sense of ownership—you'll guide projects from concept to deployment, ensuring they are scalable, dependable, and yield measurable business results.Your Contributions will Include:Designing, developing, and optimizing data pipelines for processing structured & unstructured data at scale.Building and maintaining data models (fact, dimension, slowly changing dimensions, medallion/layered architecture, marts).Creating reports and dashboards to aid in business performance analysis.Collaborating with product, data science, and analytics teams to enable AI-powered features.Assisting with data architecture transformation & migration on Databricks.Quickly troubleshooting and resolving data quality/performance issues.Optimizing queries and enforcing best practices for reliability and velocity.Driving continuous workflow improvements through automation and experimentation.Leading projects from planning through execution to delivery. Key Strengths for Success: These experiences and strengths will set you up for triumph in this role:5+ years of experience in software/data engineering.Proficient in SQL (including window functions, CTEs, complex joins).Strong understanding of data pipeline architecture and data modeling.Experience with cloud platforms and big data technologies.A proactive approach to problem-solving and a passion for continuous learning.

About FaireFaire is a pioneering online wholesale marketplace that champions the belief in localized commerce. Our mission is to empower independent retailers globally, who collectively generate more revenue than giants like Walmart and Amazon, by providing them with the technology, data insights, and machine learning tools they need to thrive. Imagine your favorite local boutique — we connect them with exceptional products from around the world, leveling the playing field against large retail and e-commerce giants. We believe that with the right tools, small businesses can compete effectively in today's market.By nurturing the growth of independent businesses, Faire is driving positive economic impact in local communities worldwide. We invite innovative, resourceful, and passionate individuals to join our mission as we lead the shop local movement. If you share our belief in the power of community, we would love to welcome you to ours.About this RoleOur Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, ensuring they can perform at their best without worrying about the underlying infrastructure. We empower product engineering teams to develop and operate software with unparalleled speed and quality, emphasizing strong engineering practices, an excellent developer experience, security, testability, ease of maintenance, and scalability to serve millions of users. We are committed to best practices to ensure optimal availability and performance.This role is ideal for a seasoned technical leader in the data domain, with influence across multiple Platform and Product groups.Within the Platform group:The Data Infrastructure team is tasked with building and managing a secure, reliable, and cost-effective platform for data ingestion, storage, compute, orchestration, and governance.The Analytics Platform team focuses on creating effective data warehousing capabilities, essential data assets, and tools designed to expedite data-driven analytics, with a goal of minimizing the time from data acquisition to insights.Additionally, this role involves influencing and collaborating with all data and analytics functions at Faire. The Product Analytics Engineering (PAE) function enables domain...

About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions. Our mission is to empower businesses by enhancing their marketing and recruitment processes through innovative and user-friendly technology. We are on the lookout for a skilled Data Engineer to join our dynamic team. In this role, you will be instrumental in developing the architecture necessary for the collection, storage, and processing of large datasets, ensuring that we have reliable access to data that drives informed decisions and fosters innovation.Position Overview:The Data Engineer will take charge of designing, building, and maintaining robust data pipelines, ensuring efficient data collection, storage, and processing across various systems. You will collaborate closely with data scientists, analysts, and other key stakeholders to guarantee that data is accessible, accurate, and reliable for business analysis and strategic decision-making.

Join Movable Ink as a Senior Engineer on our Data Platform team, where you will be instrumental in architecting and developing the systems that facilitate data flow across our organization. In this pivotal role, you will contribute to the creation and maintenance of a unified data platform that is responsible for ingesting, processing, and serving substantial volumes of data that underpin our innovative products. Collaborating with cross-functional teams in engineering, analytics, and infrastructure, you will design scalable data ingestion pipelines and backend services that seamlessly integrate data from diverse sources while ensuring reliability, governance, and high availability. Your expertise will guide the modernization of legacy data pipelines towards contemporary architectures, enhancing the cohesion of our products and services in their data access. Your contributions will significantly influence the evolution and enhancement of Movable Ink’s offerings.Key Responsibilities:Contribute to the design and implementation of robust data ingestion pipelines and infrastructure.Facilitate the migration of legacy data management processes to a new platform, ensuring minimal disruption for current data consumers.Establish and monitor SLIs and SLOs for the new data platform, utilizing dashboards and alert alerts to ensure optimal performance.Create a versatile data storage layer that accommodates various use cases, including transactional, analytical, and machine learning workloads.Develop comprehensive monitoring and incident response protocols for all data pipelines and services.Partner with product engineering, analytics, and machine learning teams to define data access strategies.

Join Terawatt Infrastructure as a Senior Data Engineer, where you will play a pivotal role in shaping our data strategies and solutions. In this fully remote position, you will be responsible for designing, building, and maintaining robust data architectures that support our data-driven decision-making processes. Collaborate with cross-functional teams to ensure data integrity and availability while driving continuous improvement in our data management practices.

We are seeking a skilled and dedicated Data Engineer to join our innovative team at jliconsulting. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architecture to support our business goals. If you have a passion for data and want to work in a dynamic environment, we want to hear from you!

Who You Are:Adaptable and Proactive Problem Solver. You excel in dynamic environments where data is unstructured, and solutions are not immediately apparent. You possess the ability to define problems, make logical assumptions, and adapt swiftly as challenges arise.Systematic Thinker. Your focus extends beyond just models; you consider the entire lifecycle of data, including its generation, movement, deployment of models, and the impact of outputs on product performance. You prioritize accuracy while also valuing latency, reliability, and transparency.Collaborative Team Player. You thrive in teamwork, effectively liaising with product, firmware, backend, and design teams to bridge business objectives, technical constraints, and implementation challenges. Your communication is clear, and you value collective success over individual accolades.What We Need:End-to-End Ownership of Data and ML Systems. You will be responsible for designing, building, and maintaining the data pipelines and machine learning models that drive our core product functionalities.

Join Lyft as a Data Engineer, where your expertise will drive innovative data solutions that enhance our ride-sharing platform. Collaborate with cross-functional teams to design, implement, and maintain robust data pipelines and architectures that support data analytics and machine learning initiatives.