Lead Engineer, Big Data (AI / Azure Data Services / Data Governance) - REMOTE

Overview

Remote
On Site
Full Time

Skills

Big Data
Data Integrity
HIPAA
HITECH
Privacy
Data Architecture
Lifecycle Management
Workflow
Documentation
Auditing
Archiving
Machine Learning (ML)
Training
Generative Artificial Intelligence (AI)
Collaboration
Health Informatics
Data Engineering
Analytics
PaaS
Leadership
Mentorship
Regulatory Compliance
Innovation
Management
Project Delivery
Data Management
Data Lake
Data Warehouse
Data Validation
Data Quality
Meta-data Management
Databricks
Unity
Microsoft Azure
Microsoft Power BI
Programming Languages
PySpark
Python
SQL
Apache Kafka
Apache Storm
Apache Spark
Streaming
Artificial Intelligence
Data Governance
Intranet
Health Care

Job Details

Job Description

JOB SUMMARY - Lead Data Engineer

A Lead Data Engineer collaborates with the Data Quality and Governance team to ensure data pipelines, data integrity, and compliance by defining data strategies, implementing Data Governance capabilities, creating self-service data assets, and integrating robust data quality and governance frameworks to support trustworthy AI solutions. Key responsibilities include designing scalable data architectures, establishing data quality standards and monitoring, managing data lineage, and ensuring adherence to regulatory requirements and privacy policies

KNOWLEDGE, SKILLS & ABILITIES (Occupational knowledge and specific technical and professional skills and abilities required to perform the essential duties of this job):

1. Data Quality & Governance Leadership
  • Define and enforce data quality standards, validation rules, and monitoring systems tailored to healthcare data.
  • Collaborate with data stewards, compliance officers, and business stakeholders to resolve data integrity issues and ensure consistent data across systems.
  • Develop and maintain metadata management, data dictionaries, and stewardship workflows.

2. Regulatory Compliance & Security
  • Ensure all data engineering practices align with healthcare regulations such as HIPAA, HITECH, and other privacy laws.
  • Implement data governance policies that support secure, ethical, and compliant data usage across the organization.

3. Data Architecture & Lifecycle Management
  • Design scalable data architectures that support healthcare analytics and AI/ML workflows.
  • Automate data lineage tracking, governance documentation, and audit trails to support transparency and traceability.
  • Establish data lifecycle policies for retention, archiving, and disposal in accordance with regulatory and operational requirements.

5. AI/ML Enablement
  • Collaborate with data scientists and ML engineers to ensure data pipelines meet model training and inference requirements.
  • Architect and implement end-to-end AI pipelines using Agentic AI and GenAI frameworks.
  • Support the development of trustworthy AI by ensuring the use of reliable, consented, and well-governed data to ensure AI enabled solutions around Data Governance.

6. Cross-Functional Collaboration
  • Partner with clinical informatics, compliance, IT, and analytics teams to align data engineering efforts with healthcare delivery goals and governance strategies.

7. Lead by example
  • Must be hands on Data quality, Data Governance tools, Databricks, Power BI
  • Experience in Azure Data Services (like Azure Databricks, Unity Catalog, Purview, Azure Data Factory) and Power BI
  • Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams
  • Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services.

8. Leadership & Mentorship
  • Lead and mentor a team of data engineers, fostering a culture of quality, compliance, and innovation.
  • Oversee project delivery and ensure alignment with enterprise data governance objectives.

JOB FUNCTION:

Responsible for all the aspects of architecture, design and implementation of Data Governance in Databricks

REQUIRED EDUCATION:

Bachelor's Degree

REQUIRED EXPERIENCE:
  • 8 + years of data management experience
  • Prior experience leading projects or teams
  • Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
  • Experience in Azure Data Services (like Azure Databricks, Unity Catalog, Purview, Azure Data Factory) and Power BI, and in programming languages such as, PySpark/Python/SQL, etc.
  • Preferred experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
  • Experience in implementing AI based solutions in Data Governance space

PREFERRED EDUCATION:

Master's Degree

PREFERRED EXPERIENCE:

Experience in the healthcare industry is preferred

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.