Lead Data Platform Engineering

We’re looking for a Lead Data Platform Engineer who can take end-to-end technical ownership of an enterprise data platform, from architecture and development to performance, security, and reliability.

This is a hands-on technical leadership role for someone who enjoys building scalable, production-grade data platforms, solving complex engineering challenges, and driving engineering best practices.

What You’ll Do:

• Lead the architecture, development, and operations of an enterprise data platform.
• Build and optimize scalable ETL/ELT pipelines using Azure Data Factory, ADLS Gen2, and Snowflake.
• Design robust data models and transformation frameworks using dbt or equivalent tools.
• Implement CI/CD, automated testing, data quality checks, and monitoring.
• Drive platform performance, security, cost optimization, and reliability.
• Provide technical guidance through architecture reviews, code reviews, and mentoring.

• 6+ years of hands-on data engineering experience.
• Strong expertise in Azure Data Factory, ADLS Gen2, and Snowflake.
• Advanced SQL Server and T-SQL skills.
• Experience with data modeling, dbt (or equivalent), and ETL/ELT architecture.
• Hands-on experience with Git, CI/CD, data quality, and production monitoring.
• Strong ownership mindset and experience leading technical initiatives.

Nice to Have: Python, Azure DevOps, and experience working with healthcare or regulated data environments.

If you’re passionate about building reliable, scalable data platforms and enjoy taking technical ownership, we’d love to connect!