Principal Data Engineer/Architect - Remote

Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Principal Data Engineer/Architect will lead data engineering efforts on public cloud, designing and building scalable solutions while collaborating with product owners and delivery leads.

Responsibilities:

• The technical leadership for all the data engineering efforts on public cloud for the Optum Rx Data Estate scrum team
• Will design and build scalable and cost-effective public cloud (Azure) native solutions as per the business use cases
• Should be hands-on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks)
• Standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.)
• As a tech lead, he should be responsible for the deliverables of the team working closely with the product owners and the delivery leads

Requirements:

• Engineering Degree in computer science or equivalent experience
• 10+ years of Data Engineering experience
• 5+ years of Data engineering experience in Spark
• 3+ years on Cloud native data engineering technologies
• Experience using AI/ML
• Technical skill sets: Experience in Dev Ops and CI/CD - Jenkins, Terraform (Azure) and containers (Docker)
• Work experience on Proof of Concepts for AI/ML
• Hands-on experience on building data engineering pipelines on Spark/ Data bricks (Azure)
• Hands-on experience with stream data ingestion /processing with Spark
• Hands-on experience on other Azure native data technology stack - Azure Data factory, Synapse, Snowflake
• Exposure to providing ETL solutions for Azure native stack and in Spark
• Good exposure on Enterprise Data Lake (Delta Lake) and Data Warehouse concepts
• Experience working with business partners for requirement gathering, scoping, estimation, and execution plan for various capabilities
• Experience working in an Agile environment with multiple Scrum and Kanban teams