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Senior Engineer, Big Data

Mol*** · United States
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United States79,608-172,484 USD/yearlyRemote
Remuneration
79,608-172,484 USD/yearly
Location
United States
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Job summary

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.

Benefits

And compensation package.Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Qualifications

  • 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.
  • 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.

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

Skills

Leadership

Degrees

AssociateBachelorDegree

Industry

AutomotiveEducationHealthcare

Company size

Enterprise

Contract length

7 years