Data Warehouse Engineering Manager(REMOTE) #ESF6167 Job at ExpertHiring, Menlo Park, CA

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  • ExpertHiring
  • Menlo Park, CA

Job Description

Top reasons to work for our client:

  • 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

Let's talk and discuss!

Job Type : Full Time

Location : Menlo Park, California

Pay : Great Pay and Full Benefits

Job Description

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:

  • Bachelor’s or master’s 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.

Our client asked me to submit 3 great people within the next few days. We work directly with the hiring manager and can arrange interviews within a few days

Pavan Kumar


#INDEH123

Job Tags

Full time, Remote work

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