Engineering Manager - Data Warehouse (Databricks / Azure)
Engineering Manager – Data Warehouse (Databricks / Azure)
Remote | High-Impact Leadership Role
Are you a hands-on data engineering leader who thrives at the intersection of architecture, automation, and scale ?
A rapidly growing, mission-driven organization is seeking an Engineering Manager – Data Warehouse to lead the design and evolution of a modern Databricks/Azure lakehouse powering enterprise-wide analytics and AI initiatives.
This is not a maintenance role.
This is a build, scale, and lead opportunity.
Why This Role Stands Out:
- Architect and own a next-generation data platform at enterprise scale
- Operate as a true technical leader —not just managing, but building
- Drive AI-enabled data capabilities across a modern cloud ecosystem
- Lead and mentor a high-performing, innovation-driven engineering team
- Work in a mission-driven environment where your work directly impacts lives
What You'll Do:
- Lead architecture, engineering, and optimization of a Databricks + Azure data platform
- Design scalable, secure, and compliant data pipelines, lakehouse models, and analytics frameworks
- Implement DevSecOps and CI/CD automation across the data lifecycle
- Drive AI/ML integration to accelerate insights and data efficiency
- Mentor and grow a team of data engineers while setting engineering standards and best practices
- Partner cross-functionally to deliver trusted, high-quality data solutions
What We're Looking For:
- 7+ years in data engineering / data warehouse architecture
- Proven experience leading enterprise-scale data platforms
- Deep expertise in:
- Databricks (Delta Lake, Spark, MLflow)
- Azure Data Services (ADF, Synapse, Storage, SQL)
- Strong background in:
- CI/CD, DevSecOps, automation frameworks
- Secure, compliant data environments (regulated industries preferred)
- Demonstrated ability to lead, mentor, and scale engineering teams
Why Work With Northwest Talent Solutions?
At Northwest Talent Solutions , we don't flood clients with resumes—we deliver precision-matched talent .
- Precision over volume – curated candidates aligned to technical and leadership requirements
- Speed to slate – top-tier candidates presented within 3–5 days
- Passive talent access – we engage high-impact leaders not actively applying
- High interview-to-offer ratio – we prioritize alignment from the start
We partner closely with both clients and candidates to ensure the right fit, the first time .
Ready to Lead at Scale?
If you're a technical data leader who wants to build, influence, and scale a modern data ecosystem—this is your role.
Apply now or message us directly for a confidential discussion.
#DataEngineering #Databricks #Azure #EngineeringLeadership #DataWarehouse #AI #DevSecOps #RemoteJobs #Hiring #TechLeadership
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