Data Warehouse Engineering Manager(REMOTE)

NPAworldwide
Menlo Park, United States of America
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 174K

Job location

Remote
Menlo Park, United States of America

Tech stack

Artificial Intelligence
Data analysis
Automation of Tests
Azure
Information Systems
Continuous Integration
Information Engineering
Data Governance
Data Infrastructure
Data Security
Data Warehousing
Github
SQL Azure
Data Ingestion
Spark
Data Lake
Information Technology
Data Analytics
Machine Learning Operations
Data Pipelines
Devsecops
Databricks

Job description

  • Lead, mentor, and develop a high-performing team of data engineers, fostering an engineering culture centered on collaboration, innovation, and continuous improvement.
  • Architect, design, and manage data warehouse and lakehouse solutions on Databricks and Azure, ensuring scalability, security, and compliance with healthcare regulations.
  • Evaluate and implement AI and machine learning technologies within Databricks and Azure environments to optimize data processes and accelerate analytics capabilities.
  • Implement DevSecOps principles across the data engineering environment, integrating security, compliance, and automation into every stage of the development lifecycle.
  • Develop and manage CI/CD pipelines for data engineering workflows to promote automated testing, deployment, and environment consistency.
  • Drive automation across data ingestion, transformation, and quality frameworks to deliver efficient, robust, and scalable data processes.
  • Collaborate with Analytics, IT, and business partners to deliver secure, efficient, and compliant data warehouse solutions that meet organizational data needs.
  • Oversee data modeling, integration, governance, and data quality frameworks that ensure accuracy, consistency, and business trust in analytic data sets.

Requirements

  • Bachelors or masters degree in computer science, information systems, data engineering, or related field.
  • Minimum of seven (7) years of experience in data engineering or data warehouse architecture, including at least three (3) years in a technical leadership position.
  • Two (2) years of supervisory experience with demonstrated ability to mentor and develop team members.
  • Deep expertise in Databricks architecture including Delta Lake, Apache Spark, and MLflow, with strong experience implementing complex data pipelines and transformations.
  • Hands-on experience architecting and deploying analytics and data infrastructure on Microsoft Azure (Data Factory, Azure SQL, Storage, etc.).
  • Proven experience implementing DevSecOps frameworks, secure data operations, and governance in regulated industries - healthcare experience strongly preferred.
  • Strong understanding of CI/CD, infrastructure-as-code, and automation tools such as GitHub Actions, Azure DevOps, or equivalent technologies.
  • Experience integrating AI and machine learning capabilities to streamline data workflows and enhance analytical insights.

Apply for this position