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Data Warehouse Engineering Manager(REMOTE) #ESF6167

ExpertHiring

Job Location:

Menlo Park, CA - USA

Yearly Salary: $ 132181 - 174478

Posted: 24 May 2026 (30+ days ago)

Application Deadline: 21 August 2026

Vacancies: 1 Vacancy

Job Summary

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

Lets 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:

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.

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

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