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 Takeda Enterprise Architecture, Data Engineering, AI, Security, and Product teams to define the Data Foundation roadmap.
• Drive engineering standards, technical reviews, backlog prioritization, and mentor distributed engineering teams.

Regards,

Mohammed ilyas,

PH +1 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

All your information will be kept confidential according to EEO guidelines.