IAM IGA Data Engineer, Assistant Vice President

Responsibilities

• Design and implement data models across relational, graph, and lakehouse systems using AWS RDS, AWS Neptune, and Databricks
• Develop warehouse/lakehouse schemas in Databricks Delta Lake for analytics and ML
• Implement graph-based retrieval and integrate with vector search for AI use cases
• Generate embeddings and manage hybrid retrieval pipelines (graph + vector)
• Build ETL/ELT workflows using Databricks (PySpark), Airflow, or AWS Glue
• Ensure data quality, consistency, and freshness across systems
• Tune queries and optimize storage for Neptune, RDS, and Delta Lake
• Work with data scientists and AI engineers to support knowledge graph and RAG workflows
• Document data models and maintain governance standards

• Master’s or Bachelor’s Degree in Computer Science or engineering
• 7–10 years of experience in data analysis, data model design, and implementation to deliver scalable, enterprise-grade data solutions in a fast-paced environment
• Manage/mentor team members, and provide training as required
• Excellent analytical and interpersonal skills
• Excellent verbal, written communication and presentation skills
• Very strong practical experience in implementing large mature incident and change management processes
• Team player, Ethical, Self-driven and self‑motivated, goal and results oriented
• Experience in building, managing diverse geographically located teams and championing customer satisfaction
• Experience in support or implementation of IAM products
• Experience in implementing SDLC engagements projects, that must include activities such as requirements gathering, analysis, design, development, testing, deployment and application support
• 3–5 years of experience in data engineering or similar roles
• Strong SQL and schema design for AWS RDS (PostgreSQL/MySQL)
• Hands‑on experience with AWS Neptune (Gremlin/SPARQL) and graph modeling
• Proficiency in Databricks, PySpark, and Delta Lake
• Familiarity with GraphRAG concepts, embeddings, and vector search
• Programming in Python for data pipelines and API integration

• Master’s Degree in Computer Science
• Bachelor’s Degree in Computer Science

• data modeling
• ETL
• ELT
• SQL
• schema design
• graph modeling
• Python
• Py Spark
• embeddings
• vector search

• analytical skills
• interpersonal skills
• communication skills
• presentation skills
• team player
• self‑driven
• goal oriented
• results oriented
• mentoring
• customer satisfaction