Description

Lead architecture and end-to-end implementation of complex data warehousing, data lake, and migration solutions on AWS.

This role is on-site.

Responsibilities

• Architect and implement data lakes, big data, and data engineering solutions.
• Lead techno-functional design workshops for AWS, data modeling (LDM/PDM), and ML workflows.
• Drive MLOps initiatives: propose, develop, test, and productionize models using AWS SageMaker.
• Establish standards for process modeling, semantic modeling, and data management conventions.
• Collaborate with product owners and data scientists to conduct Proof of Concepts for AI solutions.

Required Skills

• 7+ years architecting complex data warehousing and data lake solutions.
• Hands-on experience with AWS Cloud, Big Data Lake, and AWS SageMaker.
• Proficiency in Python and Spark for data engineering.
• Strong background in full-stack development with Java and AngularJS.
• Experience in MLOps architecture and productionizing machine learning models.
• Expertise in ETL/ELT processes and tools.
• Knowledge of Data Quality (Trillium, Owl DQ) and Data Governance (Collibra) frameworks.
• Proficiency with data visualization tools such as Tableau, Power BI, or Spotfire.

Preferred Skills

• Functional experience with Healthcare Logical Data Models and healthcare manufacturing business processes.
• Experience with LENS, Magellan, and AISphere products.

Key Skills

Education

Any Gradute