Lead Data Engineer

Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.

• Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions
• Drive the migration and modernization of legacy data environments to Snowflake
• Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives
• Design and maintain high-performance data models, data architectures, and data integration frameworks
• Implement data quality, governance, monitoring, and performance optimization best practices
• Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap
• Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions
• Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows
• Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies
• Mentor and guide other engineers while influencing technical direction and engineering standards
• Evaluate and implement modern data engineering tools, frameworks, and best practices
• Support the growth and scalability of the organization’s data ecosystem while ensuring reliable, trusted, and accessible data

• 10+ years of experience in Data Engineering, including experience leading projects and mentoring engineers
• Proven experience leading or playing a key role in a Snowflake migration or major data platform modernization initiative
• Strong hands-on expertise with Snowflake
• Experience with Airflow and/or Astronomer for workflow orchestration
• Advanced Python and SQL development skills
• Strong experience designing and supporting ETL/ELT pipelines
• Deep understanding of data warehousing concepts and modern data architectures
• Experience with cloud-based data platforms and services, preferably within Azure environments
• Strong knowledge of data quality, governance, performance tuning, and scalability best practices
• Ability to wear multiple hats and operate effectively within lean, fast-paced organizations
• Experience working in small to mid-sized companies or high-growth environments preferred
• Strong communication skills with the ability to serve as a liaison between technical teams and business stakeholders
• Demonstrated leadership experience with mentoring, coaching, and influencing engineering teams
• Experience evaluating and implementing modern data technologies and architectural improvements
• Familiarity with Databricks is a plus but not required
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
• Ability to work onsite in the Atlanta area four days per week Technology Doesn’t Change the World, People Do.®

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