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 leadernot 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 Youll 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 Were 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 dont flood clients with resumeswe deliver precision-matched talent.
Precision over volume curated candidates aligned to technical and leadership requirements
Speed to slate top-tier candidates presented within 35 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 youre a technical data leader who wants to build influence and scale a modern data ecosystemthis is your role.
Apply now or message us directly for a confidential discussion.
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 Warehous...
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 leadernot 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 Youll 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 Were 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 dont flood clients with resumeswe deliver precision-matched talent.
Precision over volume curated candidates aligned to technical and leadership requirements
Speed to slate top-tier candidates presented within 35 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 youre a technical data leader who wants to build influence and scale a modern data ecosystemthis is your role.
Apply now or message us directly for a confidential discussion.