<p>Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.</p><ul><li>Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions</li><li>Drive the migration and modernization of legacy data environments to Snowflake</li><li>Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives</li><li>Design and maintain high-performance data models, data architectures, and data integration frameworks</li><li>Implement data quality, governance, monitoring, and performance optimization best practices</li><li>Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap</li><li>Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions</li><li>Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows</li><li>Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies</li><li>Mentor and guide other engineers while influencing technical direction and engineering standards</li><li>Evaluate and implement modern data engineering tools, frameworks, and best practices</li><li>Support the growth and scalability of the organization&#39;s data ecosystem while ensuring reliable, trusted, and accessible data</li></ul>

<ul><li>10+ years of experience in Data Engineering, including experience leading projects and mentoring engineers</li><li>Proven experience leading or playing a key role in a Snowflake migration or major data platform modernization initiative</li><li>Strong hands-on expertise with Snowflake</li><li>Experience with Airflow and/or Astronomer for workflow orchestration</li><li>Advanced Python and SQL development skills</li><li>Strong experience designing and supporting ETL/ELT pipelines</li><li>Deep understanding of data warehousing concepts and modern data architectures</li><li>Experience with cloud-based data platforms and services, preferably within Azure environments</li><li>Strong knowledge of data quality, governance, performance tuning, and scalability best practices</li><li>Ability to wear multiple hats and operate effectively within lean, fast-paced organizations</li><li>Experience working in small to mid-sized companies or high-growth environments preferred</li><li>Strong communication skills with the ability to serve as a liaison between technical teams and business stakeholders</li><li>Demonstrated leadership experience with mentoring, coaching, and influencing engineering teams</li><li>Experience evaluating and implementing modern data technologies and architectural improvements</li><li>Familiarity with Databricks is a plus but not required</li><li>Bachelor&#39;s degree in Computer Science, Information Systems, Engineering, or a related field</li><li>Ability to work onsite in the Atlanta area four days per week</li></ul>

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