Lead the data engineering team in building and maintaining high quality data assets, tools, and processes to empower internal and external customers. Tasked with ensuring the company is building a high-quality, scalable, and sustainable data infrastructure, that can adapt to new data sources and serve all data consumers. Work cross-functionally with various teams to enable data-driven decisions.

Drive Data Engineering efforts, lead a cross functional team of Data Engineers, own, enhance and update Data Engineering processes and standards, understand company needs, and own and execute critical projects on our Data Engineering roadmap within the Engineering department reporting to the Director of Data Management and Information Security.

Veeva is seeking a collaborative expert in data pipelines, ETL tools, and warehousing to create high-quality solutions to complex problems around data acquisition and integration into existing systems and datasets. This role involves designing data pipelines, working with data scientists, creating documentation, and providing guidance to junior engineers in a fast-paced environment.

Embark on an exciting journey into software development! As a Data Engineer, you'll be crucial, actively contributing to projects that reshape data analytics for clients, providing them a competitive edge. Responsibilities include writing code, implementing solutions, building ETL processes, ensuring data quality, and debugging to fix defects.

The Clickhouse team is responsible for the Clickhouse cluster and query layer that all other teams (and all customers) use to store and query data. Responsibilities include developing tooling for backup and restore, creating schema management tools, enhancing visibility into cluster statuses, and automating dynamic provisioning.

The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions. The ideal candidate will have a deep understanding of cloud data and analytics technologies and define strategic roadmaps and targeted outcomes for clients. This role involves overseeing data standards, participating in technical interviews, and providing technical guidance to architects and engineers.

Design, build, and maintain scalable, reliable, and secure data infrastructure that powers analytics, machine learning, and data-driven applications across the company. You’ll collaborate closely with data analysts, data scientists, and infrastructure engineers to enhance data accessibility, governance, and efficiency. Play a key role in shaping the future of our data ecosystem.

You will work on designing, building, and optimizing systems that extract, enrich, and process metadata at scale as part of the ML Data Engineering team. You’ll collaborate closely with machine learning teams, product managers, and other engineers to ensure the smooth integration and processing of vast amounts of structured metadata.

As a Staff Data Engineer on the H1DN Team, be a hands-on technical leader, directly contributing to the development of scalable and efficient data architectures. Collaborate with two IC team members, guiding them while actively participating in the work. This role centers on data ingestion and enrichment workflows, ensuring seamless integration of client data from various sources and addressing scalability, data quality, and standardization challenges.

The person will work on a generative AI platform enabling the creation of solutions for conversational products. We work in an agile model with a constant search for results through experiments and short validation cycles. Therefore, we are looking for someone who likes and has ease working in a dynamic environment, oriented to metrics and with excellent software engineering practices.