Provide executive-level technical vision and strategy for building a data ecosystem
Drive the long-term roadmap and influence the direction of data engineering
Build, lead, and scale a high-performing organization of data engineers
Serve as a technical authority and thought leader in data engineering
Effectively lead, motivate, and develop both strong, tenured engineers and early career engineers
Create tailored growth opportunities and mentorship for engineers
Cultivate strong and productive relationships across business, science, analytics, and engineering partners
Balance immediate stakeholder needs with long-term vision
Collaborate with other senior data engineering leaders
Represent the Content Data Engineering function in cross-functional forums
Requirements
Strong technical depth and hands-on experience in building, scaling, and optimizing large-scale data engineering solutions and platforms
Extensive experience in building and scaling broadly used data products and platforms
Deep expertise in the mechanics of distributed systems processing
Advanced knowledge of data modeling for analytics and data warehousing at scale
Demonstrated success in hiring, developing, and retaining both highly experienced engineers and early career talent
Proven ability to foster an environment where both seasoned and junior engineers are empowered, engaged, and recognized for their unique contributions.
Benefits
Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata modelingdata warehousingdistributed systemslarge-scale data solutionsdata productsdata ecosystemtechnical visionroadmap developmentoptimization