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

Data Engineering Lead (mAI – Data Foundation Core)