Principal Data Platform Engineer - AI/ML & Data Lakes

Blue Shield of CA; Portland (OR); On-site; USD 180,000 - 240,000; Full time

Job summary

Blue Shield of CA is seeking a Principal Data Engineer to lead the end-to-end design and delivery of data platforms. You will collaborate with enterprise architects and analytics teams to build data lakes, warehouses, and data marts that power AI/ML and analytics initiatives.

You will mentor senior engineers, influence architecture decisions, and ensure best practices in data privacy, security, and scalable architectures across large enterprises.

Qualifications

• Requires a bachelor’s degree or equivalent experience.
• Minimum 10 years of relevant 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.
• Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent.
• Expert in data management practices including data modeling, integration, architecture, privacy and security.
• Hands-on experience with SQL, Python, DBT Cloud and DBT Core; familiarity with NoSQL platforms.
• Proven ability to design and scale large-volume, high-performance data platforms.

Responsibilities

• Partner with architects and analytics teams to design data products and enterprise solutions.
• Drive the end-to-end delivery of data lakes, data warehouses and data marts.
• Mentor senior engineers and influence architecture decisions while embracing AI/ML initiatives.

Skills

Data Vault 2.0

Dimensional modeling

Lakehouse architecture

AI/ML concepts

SQL

Python

DBT Cloud

DBT Core

Snowflake

Databricks

Synapse

NoSQL

Data warehousing

Data privacy & security

CI/CD & Git

Jira

Education

Bachelor's degree or equivalent experience

Tools

Snowflake

Databricks

Synapse

DBT Cloud

DBT Core

Job description

Blue Shield of CA is seeking a Principal Data Engineer to lead the end-to-end design and delivery of data platforms. You will collaborate with enterprise architects and analytics teams to build data lakes, warehouses, and data marts that power AI/ML and analytics initiatives.

You will mentor senior engineers, influence architecture decisions, and ensure best practices in data privacy, security, and scalable architectures across large enterprises.