Senior Data Engineer

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Title: Senior Data Engineer
Location: Pleasanton, California (hybrid work)

As a Senior/Lead Data Engineer, you will lead the design, development, and ownership of core data infrastructure from 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, dbt, Snowflake, and modern orchestration frameworks.

• 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, Git Hub 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.

• 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.
• Dev Ops:
  Experience with Git/Git Ops 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.