We're Hiring:

Lead Data Platform Engineer Location:

Dallas, TX | On-site, 5 days/week

Experience:

6+ Years 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.

What We're Looking For:

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! Interested? Send me your resume or reach out via DM.

Pay:

$140,000.00 - $155,000.00 per year

Work Location:

In person