Archived listing. The details below describe a past opening.
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