Lead Data Platform Engineering

*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