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

Molina Healthcare; Austin (TX); Remote; USD 107,000 - 209,000; Full time

Job summary

A leading healthcare provider in Austin, Texas seeks a Lead Data Engineer to oversee data governance implementation and ensure data quality standards. Essential for candidates is a strong background in data management, experience in healthcare regulations, and proficiency in Azure Databricks and Power BI. This role involves mentoring, leading teams, and aligning data engineering with healthcare goals.

Benefits

Competitive benefits package

Equal Opportunity Employer (EOE)

Qualifications

• 8+ years of data management experience required.
• Experience leading projects or teams essential.
• Strong experience in Data Lake and Data Warehouse.

Responsibilities

• Define and enforce data quality standards and monitoring systems.
• Ensure compliance with healthcare regulations such as HIPAA.
• Design scalable data architectures supporting analytics and AI.

Skills

Data quality

Data governance

Collaboration

Leadership

Analytical skills

Education

Bachelor's Degree

Master's Degree

Tools

Azure Databricks

Power BI

SQL

Kafka

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.

Pay Range: $107,028 - $208,446 / ANNUAL

*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.