Description

Design and maintain enterprise data and analytics solutions using AWS services. You will own the technical architecture, ensuring scalability, security, and performance across complex applications.

Responsibilities

• Design and implement scalable data solutions using AWS Lambda, EC2, Glue, and Kinesis.
• Establish enterprise guidelines for data security, master data management, and reference data management.
• Partner with engineering and product teams to translate business requirements into technical architectures.
• Perform POCs to evaluate emerging technologies and establish standard architectural patterns.
• Diagnose complex performance issues and manage technical delivery for large-scale data processing.

Required Skills

• 8+ years of experience in data, analytics, AI/ML, or data warehouse platforms.
• 5+ years as a Solution or Data Architect on AWS.
• 5+ years of database architecture with relational SQL (Oracle, PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB, Elasticsearch).
• 4+ years of ETL/ELT design using AWS Glue, Talend, Informatica, or ODI.
• 4+ years of programming in Node.js, Python, Java, or Scala.
• 3+ years building serverless architectures using Athena, Glue, EC2, Lambda, and Kinesis.
• 2+ years of large-scale data processing via Spark, EMR, or HPC.
• Experience with modeling tools like Vizio, Draw.io, or Miro.
• Knowledge of healthcare domain and RESTful APIs.

Preferred Skills

• AWS Solution Architect certification (Associate level or above).
• Experience with DevOps and CI/CD technologies.

Key Skills

Education

Any Graduate