Senior Data Platform Architect: Cloud Data Lakes

Blue Shield of CA

Columbus (OH)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Blue Shield of CA is seeking a Principal Data Engineer to lead end-to-end data platform delivery. You will design cloud data lakes, data warehouses, and data marts in collaboration with architects and cross-functional teams.

You will mentor senior engineers, influence enterprise architecture decisions, and drive AI/ML initiatives across the enterprise while ensuring data governance and security best practices.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 10+ years of data engineering experience.
  • Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems.
  • Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design.
  • Ability to influence enterprise architecture decisions and mentor senior engineering talent.
  • Hands-on with SQL, Python, DBT Cloud and DBT Core; experience with NoSQL and Snowflake/Synapse/Databricks.
  • Knowledge of CI/CD, source control, and agile tooling.

Responsibilities

  • Lead design of cloud data lakes, data warehouses, and data marts.
  • Collaborate with Enterprise Architects, Portfolio, Analytics and Data engineering teams.
  • Mentor senior engineers and drive data product initiatives.
  • Ensure data governance, privacy, and security across platforms.
  • Guide AI/ML initiatives and enterprise data ecosystems.

Skills

SQL
Python
AI/ML concepts
Data modeling
Data warehousing
Data governance
Data integration

Education

Bachelor's degree

Tools

DBT Cloud
DBT Core
Snowflake
Synapse
Databricks

Job description

Blue Shield of CA is seeking a Principal Data Engineer to lead end-to-end data platform delivery. You will design cloud data lakes, data warehouses, and data marts in collaboration with architects and cross-functional teams.

You will mentor senior engineers, influence enterprise architecture decisions, and drive AI/ML initiatives across the enterprise while ensuring data governance and security best practices.

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