Senior Data Engineer

5 days ago

Pleasanton, California, United States SnapCode Inc Full time

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.

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