Back
Metro-based senior niche data-platform role with broad tool requirements, leading to moderate competition.
Core data engineering skills are transferable, but senior finance domain experience increases fit sensitivity.
Explicit 15+ years requirement and deep data platform/cloud expertise makes filters highly stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and oversee strategic initiatives for advanced data platform solutions, ensuring alignment with leadership on data strategies.
Spearhead design and implementation of innovative data platform technologies and agile workflows to optimize data products and enterprise analytics.
Manage performance monitoring, cost forecasting, and collaboration across enterprise partners to drive data platform efficiency and governance.
Bachelor’s Degree or equivalent in Computer Science.
15+ years of work experience with major Data Engineering toolsets and cloud deployments (AWS, EKS, Lambdas).
Experience in modeling data warehouses using third normal form and Star/Snowflake methodologies.
Ability to travel up to 10% annually.
Senior-level data engineering professional experienced with enterprise-scale cloud data deployments and strategic technology leadership.
Strong background in Agile product management, enterprise data architecture, and cross-functional stakeholder collaboration.
Demonstrated expertise in multiple data platforms and engineering tools including AWS and Azure environments, Hadoop, Databricks, and ETL/ELT pipelines.