Data Warehouse Engineering Manager(REMOTE) #ESF6167

• Our client provides full-service health care and personalized support to help you age well at home and in your community.
  
• Stable company with tremendous opportunity for career advancement
  
• Have your contributions recognized
  
• Work with an experienced and energetic team
  
• Comprehensive lucrative salary and benefits
  

What you will be doing:

• 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.
  

Experience you will need:

• 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.