Data Engineering Lead (mAI – Data Foundation Core)

Required Skills

• AWS:  S3, Glue, Lambda, Athena, Redshift, EMR, Lake Formation, Step Functions, EventBridge, API Gateway, IAM
• Python, PySpark, SQL
• Apache Spark, Kafka (preferred)
• Data Lake/Lakehouse architecture
• Data Governance, Metadata, Lineage, Data Quality
• GenAI, RAG, Vector Databases, Knowledge Graphs
• Terraform, GitHub, CI/CD
• Excellent stakeholder management and communication.

Key Responsibilities

• Lead the architecture and implementation of AWS-based structured and unstructured data platforms supporting AI and GenAI solutions.
• Design scalable data ingestion pipelines, data models, metadata, lineage, data quality, and governance frameworks.
• Establish reusable data contracts, integration patterns, and secure data access across enterprise AI products.
• Collaborate with Tak...