Data Engineering Senior Manager
Chicagoonsitemanager$148K – $211K
Posted today · via Workday
About this role
Reporting to the Data Platform and Engineering Director, the Data Engineering Senior Manager leads the design, build, and optimization of the scalable data platforms that power analytics, machine learning, and AI across the firm. As a hands-on leadership role, it will set technical direction, grow a high-performing engineering team, and deliver the secure, reliable, high-performing data products that make better decisions possible firmwide. Partnering closely with colleagues in AI, business intelligence, product, and operations, this role will turn the Firm’s data strategy into working systems while upholding rigorous data privacy and governance standards.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, databricks, aws, azure…
2
Level fit
This role is manager-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Chicago. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqldatabricksawsazuregcpterraformsparkkafkaairflowdbtjirateamsgdpr