Principal Data Engineer - Architecting Data Lakes

Blue Shield of CA; Las Vegas (NV); On-site; USD 180,000 - 240,000; Full time

Job summary

Blue Shield of CA is seeking a Principal Data Engineer to lead data engineering efforts across enterprise data products and platforms. You will partner with architects, analytics, and data teams to design and implement cloud data lakes, data warehouses, and data marts that scale for enterprise needs.

You will apply Data Vault 2.0, dimensional modeling, Lakehouse patterns and domain-driven design, mentor senior engineers, and influence enterprise architecture decisions while advancing AI/ML

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 engineers.
• Data management, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
• Enthusiasm for AI and emerging technologies with hands-on AI/ML in enterprise environments.
• Hands-on experience with SQL, Python, DBT Cloud and DBT Core; proficiency with NoSQL and Snowflake/Synapse/Databricks.
• Designing scalable large-volume data platforms with parallel and distributed architectures.
• CI/CD, source control, and agile delivery tools (Git, Bitbucket, Jira).
• Experience in healthcare, regulated environments, or large enterprises is strongly preferred.

Skills

Leadership

Data engineering

AI/ML concepts

Enterprise architecture influence

Mentoring senior engineers

Education

Bachelor's degree

Tools

SQL

Python

DBT Cloud

DBT Core

Snowflake

Synapse

Databricks

NoSQL

Job description

Blue Shield of CA is seeking a Principal Data Engineer to lead data engineering efforts across enterprise data products and platforms. You will partner with architects, analytics, and data teams to design and implement cloud data lakes, data warehouses, and data marts that scale for enterprise needs.

You will apply Data Vault 2.0, dimensional modeling, Lakehouse patterns and domain-driven design, mentor senior engineers, and influence enterprise architecture decisions while advancing AI/ML