Unspecified

About the Role Join DBT Labs to help shape product platform capabilities that power data movement, transformations, security, governance, and extensibility across a broad set of data sources and destinations.

This role focuses on building and evolving platform capabilities such as Platform overview, Transformations, Security, Governance, Extensibility, Activations, Deployment, and Integrations with data sources and destinations like SaaS, databases, SAP, streaming, file replication, data lakes and data warehouses. What You'll Do

• Collaborate with product and engineering teams to evolve platform capabilities that enable automated transformations, secure data movement, and governed data flows.
• Support hybrid deployment patterns to securely move data without compromising performance.
• Work on integrations with sources and destinations including SaaS replication, database replication, SAP replication, streaming replication, file replication, and custom connectors; enable data movement to data lakes and data warehouses.
• Contribute to open data infrastructure and agentic AI initiatives by ensuring reliable access to centralized and governed data for analytics and AI workflows.
• Help maintain documentation, runbooks, and developer tooling for connectors and APIs.
• Partner with customers and ecosystems (AWS, Databricks, Google BigQuery, Microsoft Azure, Snowflake, Fivetran connectors) to optimize workflows at scale.
• Stay focused on security, governance, and compliance in all platform initiatives. What We're Looking For
• Experience with data platforms, data integration/movement, and scalable data workflows.
• Knowledge of data security, governance, and compliance in data pipelines.
• Familiarity with cloud deployment patterns, particularly hybrid deployments.
• Ability to work across multiple data sources and destinations (SaaS, databases, data lakes, data warehouses).
• Strong collaboration, communication, and documentation skills. Nice to Have
• Experience with connectors and APIs; familiarity with Fivetran and partner ecosystems (AWS, Databricks, Google BigQuery, Microsoft Azure, Snowflake).
• Background in data engineering, platform engineering, or software development.
• Familiarity with AI data enablement and centralized data governance.