Principal Data Engineer: AI-Ready Data Platform Lead

Releady; Denver (CO); Hybrid; USD 117,096 - 130,872; Full time

Job summary

Releady, partnering with a leading healthcare technology company, seeks a Principal Data Engineer to design scalable data pipelines, data lakes, warehouses, and data marts across enterprise platforms. Lead delivery, mentor engineers, and influence architecture while collaborating with Enterprise Architects and Data Engineering teams.

The role supports AI-enabled analytics, data quality and governance, and DevOps/DataOps practices.

Qualifications

• Bachelor's degree or equivalent with at least ten years in data engineering.
• Experience supporting enterprise AI/ML, analytics, and data products.
• 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.
• Strong data management skills including data modeling, MDM, integration, privacy, and security.
• Hands-on with SQL, Python, DBT Cloud, DBT Core; fluent with Snowflake, Synapse, or Databricks.
• Experience designing large-scale, high-performance data platforms.
• Knowledge of CI/CD, source control, and agile tools (Git, Bitbucket, Jira).
• Healthcare or regulated environments experience preferred.

Responsibilities

• Lead design, development, and implementation of scalable data pipelines for data lakes, warehouses, and marts.
• Engineer ELT/ETL to ingest and curate structured and semi-structured data from diverse sources.
• Apply Data Vault 2.0, dimensional, and domain-driven modeling for analytics products.
• Partner with Solution Design, Architecture, and Product teams to ensure secure designs.
• Build on Snowflake, Databricks, and Synapse with performance, scalability, and cost efficiency.
• Implement data quality, observability, lineage, and governance in pipelines.
• Champion CI/CD, automated testing, IaC, monitoring, and alerting in DataOps.
• Provide hands-on leadership and mentorship to data engineers; promote best practices.
• Support AI/ML-ready data assets and ensure trustworthy data for advanced analytics.

Skills

Data modeling

Data Vault 2.0

AI/ML readiness

Enterprise architecture

Mentoring

SQL

Python

NoSQL

CI/CD

Agile

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Synapse

DBT Cloud

DBT Core

Git

Bitbucket

Jira

Job description

Releady, partnering with a leading healthcare technology company, seeks a Principal Data Engineer to design scalable data pipelines, data lakes, warehouses, and data marts across enterprise platforms. Lead delivery, mentor engineers, and influence architecture while collaborating with Enterprise Architects and Data Engineering teams.

The role supports AI-enabled analytics, data quality and governance, and DevOps/DataOps practices.