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