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Metro-based senior data lead with common title and broad skills, moderate candidate competition.
Core data engineering skills are broadly transferable across industries despite C#/.NET preference.
Explicit 8+ years and mandatory Snowflake, Airflow, Python/C#, and cloud skills make shortlisting strict.
Lead technical direction and establish engineering standards for the Partnership Intelligence Measurement data platform while remaining hands-on with data pipelines.
Design, build, and maintain scalable, reliable data pipelines and distributed data systems supporting enterprise SaaS data platform features.
Mentor engineers, lead technical design and architecture reviews focusing on scalability, reliability, maintainability, security, and operational impact.
8+ years software engineering experience with strong data focus including production data systems design, build, and operation.
Proficiency in Python and C#/.NET, with experience in AWS, Snowflake, MS SQL Server, and Apache Airflow required.
Experience in leading technical teams and initiatives with architecture design and mentoring responsibilities.
Work Experience Required: 8+ years in relevant data engineering and technical leadership roles.
Experienced technical leader proficient in designing and evolving large-scale data architectures and pipelines in fast-paced environments.
Strong collaborator able to work across product management, engineering, and stakeholders to deliver scalable data solutions.
Skilled in defining and improving engineering standards including automated testing, DevOps practices, and monitoring for data platforms.