Senior Big Data Engineer

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

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.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 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.
• Hands-on experience with Databricks and Lakehouse architecture.
• Experience delivering cloud-based solutions using Azure, AWS, or Google Cloud Platform.
• 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.

Benefits

• Competitive benefits and compensation package