Senior Data Engineer

Title: Senior Data Engineer Location: Pleasanton, California (hybrid work) Role Overview As a Senior/Lead Data Engineer, you will lead the design, development, and ownership of core data infrastructurefrom pipelines to storage to data products. You'll be a strategic partner across teams, ensuring that our data systems are robust, scalable, and optimized for performance. With executive visibility and deep cross-functional collaboration, the solutions you build will directly influence product strategy and operational excellence. This is a unique opportunity to build from the ground up while working with cutting-edge technologies such as Postgres SQL, dbt, Snowflake, and modern orchestration frameworks. Key Responsibilities • Architect, design, and implement scalable ELT pipelines using Snowflake, dbt, and Postgres. • Optimize data models in both Snowflake (cloud DW) and Postgres (transactional/operational data). • Implement advanced Snowflake features (Snowpipe, Streams, Tasks, Dynamic Tables, RBAC, Security). • Design and maintain hybrid pipelines (Postgres � Snowflake) for seamless data integration. • Establish data quality and testing frameworks using dbt tests and metadata-driven validation. • Implement CI/CD workflows (Git, GitHub Actions, or similar) for dbt/Snowflake/Postgres projects. • Drive observability, monitoring, and performance tuning of pipelines (logs, lineage, metrics). • Provide technical leadership and mentorship to engineers and analysts. • Collaborate with Finance, Product, Marketing, and GTM teams to deliver trusted, business-critical data models. • Support financial data processes (consolidation, reconciliation, close automation). • Evaluate and experiment with emerging AI and data technologies, providing feedback to influence product direction. Requirements • Experience: 8+ years in Data Engineering, including 3+ years in Snowflake & dbt. • Database Expertise: • Deep hands-on experience with dbt (Core/Cloud) macros, testing, documentation, and packages. • Strong expertise in Postgres (schema design, optimization, stored procedures, large-scale workloads). • Advanced knowledge of Snowflake (data modeling, performance tuning, governance). • Programming: Proficient in SQL and Python, including API integrations and automation. • Orchestration & ETL: Hands-on with Airflow, Dagster, Prefect (or similar), and ETL/ELT tools like Fivetran, Nifi. • Data Architecture: Strong understanding of data warehousing, dimensional modeling, medallion architecture, and system design principles. • Cloud: Experience with AWS (mandatory); GCP or Azure is a plus. • DevOps: Experience with Git/GitOps CI/CD pipelines for data workflows. • Leadership: Proven ability to mentor teams, collaborate cross-functionally, and deliver impact in fast-paced environments. • Communication: Excellent written and verbal communication skills.