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Popular data-engineer role in a metro location increases applicant density.
Data engineering skills transfer across industries, though Snowflake and enterprise governance add some domain bias.
Explicit 6+ years, 4+ cloud years, and mandatory Snowflake/ELT/CI-CD skills make filters strict.
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Lead and coordinate multiple data engineering teams to deliver scalable ELT pipelines and governed data products aligned to enterprise data models and standards in a cloud-native environment.
Design, build, and optimize data pipelines integrating into the Unified Data Platform ensuring reuse, eliminating redundancy, and maintaining performance and cost efficiency on Snowflake/AWS.
Enforce data services protocols, coding standards, CI/CD processes, data governance, and mentoring across teams to maintain high-quality, consistent, and reliable data engineering practices.
BSc degree in IT or related discipline.
6+ years in data or software engineering with at least 4 years on cloud-based data platforms.
Proven experience with enterprise data platforms, preferably Snowflake on AWS, and ELT tools such as Matillion, Fivetran, or Informatica IICS.
Advanced SQL skills, experience with CI/CD pipelines, automated testing, data governance, metadata management, and data quality practices.
Experienced leader capable of managing cross-functional data engineering teams in an agile environment focused on cloud-native data platforms and ELT pipeline delivery.
Strong technical operator with deep expertise in Snowflake/AWS ecosystems, enterprise data modelling, and ELT orchestration ensuring scalable and reusable data products.
Strategic collaborator able to align technical solutions with enterprise data standards while mentoring teams and enforcing high-quality coding and deployment practices.