Senior Engineer, Big Data

Molina Healthcare; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Molina Healthcare is seeking a Sr Big Data Engineer to drive enterprise architecture strategy, platform modernization, and end-to-end data solutions. The role partners with EIM and business stakeholders to design scalable, secure analytics platforms enabling AI/ML and enterprise reporting.

This hands-on leadership position focuses on architecture (40%), engineering (30%), and governance/mentoring (30%), leveraging Databricks and cloud-native technologies across Azure/AWS/GCP.

Qualifications

• Bachelor's degree in a related field.
• 5-7 years in solution/data architecture roles.
• Hands-on with Databricks Lakehouse and cloud platforms.
• Experience with data governance, data quality, and security.

Responsibilities

• Define and establish enterprise architecture patterns for data and analytics.
• Design and implement modern data platforms with performance and security in mind.
• Lead Databricks Lakehouse adoption for data engineering, governance, analytics, and AI/ML.
• Evaluate new tools to support enterprise objectives and cost optimization.
• Collaborate with executives and data teams to translate strategy into tech solutions.
• Provide hands-on architectural leadership across strategy, design, and implementation.
• Conduct reviews to ensure alignment with enterprise standards.
• Develop automation frameworks to improve Databricks reliability and developer productivity.
• Partner with ingestion, curation, and consumption teams to optimize data flows.
• Mentor teams on cloud-native platform engineering and modern data architecture.

Skills

Python

PySpark

SQL

Apache Spark

Distributed processing

Data governance

Data security

Education

Bachelor's degree (CS/IS/Engineering/Data Science)

Tools

Databricks

Delta Lake

CI/CD

Infrastructure as Code

Azure Cloud

AWS Cloud

GCP

Job description

Job Description

Job Summary

We are seeking a highly skilled and experienced Sr Big Data Engineer to drive enterprise architecture strategy, platform engineering, modernization initiatives, and end-to-end solution delivery. This role will lead data and analytics transformation efforts leveraging Databricks, cloud-native technologies, and modern data platform architectures.

The ideal candidate will partner closely with Enterprise Information Management (EIM), business stakeholders, and technology leaders to design and deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI/ML, and enterprise reporting capabilities.

This is a hands-on technical leadership role, with approximately 40% architecture and strategy, 30% engineering and platform implementation, and 30% governance, mentoring, and stakeholder collaboration.

Key Responsibilities

• Define and establish enterprise architecture patterns, standards, frameworks, and best practices for scalable data and analytics solutions.
• Design, architect, and implement modern data platforms with a focus on performance, scalability, security, reliability, and maintainability.
• Lead the adoption and enablement of Databricks Lakehouse capabilities, including Data Engineering, Data Governance, Analytics, and AI/ML workloads.
• Evaluate emerging technologies, tools, and frameworks to support enterprise business and technology objectives.
• Collaborate with business leaders, executives, data teams, and engineering organizations to translate strategic goals into technology solutions.
• Provide hands-on architectural leadership throughout the solution lifecycle, from strategy and design through implementation and operationalization.
• Conduct architecture and design reviews to ensure alignment with enterprise standards and best practices.
• Develop automation frameworks and engineering solutions to improve Databricks platform reliability, operational efficiency, and developer productivity.
• Partner with data ingestion, curation, and consumption teams to optimize data processing, platform performance, and cloud costs.
• Drive data governance, security, compliance, and data quality initiatives across the enterprise data ecosystem.
• Mentor engineering teams and promote cloud-native, platform engineering, and modern data architecture best practices.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.

Experience

• 5-7 years of experience in Solution Architecture, Data Architecture, or Enterprise Architecture roles.
• 5+ years of experience designing and delivering enterprise-scale data management and analytics solutions.
• 3+ years of experience in Platform Engineering and cloud-native data platforms.
• Experience implementing medallion architectures and enterprise data models across ingestion, curation, and consumption layers.
• Strong experience architecting and implementing Data Governance, Data Quality, Metadata Management, and Data Security solutions.
• Hands-on experience with Databricks and Lakehouse architecture.
• Experience delivering cloud-based solutions using Azure, AWS, or Google Cloud Platform.
• Proven experience supporting AI/ML initiatives and modern data analytics ecosystems.
• Advanced hands-on experience with Python, PySpark, SQL, Apache Spark, Delta Lake, and distributed data-processing frameworks.
• Experience with CI/CD, Infrastructure as Code, automated testing, and production deployment of Databricks workloads.
• Experience with healthcare data standards such as FHIR, HL7, X12, HEDIS, or claims and clinical data is preferred.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.