Senior Data Lead - (MDM, Big Data)
Job Description
Location - Mumbai
Experience - 8-18 years
Salary - 15 -22 LPA
Domain - Supply Chain/Procurement
β‘οΈRole Overview: Looking for a Senior Data Lead to own the architecture, engineering, and governance of our enterprise data. You will bridge the gap between heavy-duty data engineering and production-grade GenAI, building scalable systems for MDM, procurement, and advanced AI workflows.
β Mandatory Skills:
β’ Bachelorβs or Masterβs degree in Computer Science, Data Engineering, or related field
β’ 8 β15+ years of experience in Data Engineering, with strong exposure to MDM and Procurement/Supply Chain data
β’ Strong Data Engineering (Python, SQL, ETL/ELT)
β’ Experience in Data Architecture & Data Warehousing
β’ Expertise in MDM & Data Governance
β’ Experience with Big Data tools (Spark, Kafka, Hadoop)
β’ Hands-on with Cloud platforms (AWS / GCP / Azure)
β’ Experience in Procurement / Supply Chain data
β’ Strong Data Modeling & Data Quality frameworks
β’ Proven Team Leadership & Stakeholder Management
πΌWhat Youβll Own:
β’ Engineering: Architecting scalable batch/real-time pipelines and managing complex MDM/Procurement data lifecycles.
β’ GenAI: Moving beyond POCs to deploy production-ready RAG, semantic search, and agentic workflows.
β’ Governance: Driving data quality, schema integrity, and procurement data accuracy.
β’ Leadership: Mentoring engineering teams and aligning data strategy with business stakeholders.
βοΈThe Tech Stack:
β’ Core: Python (Expert), Advanced SQL, Spark/Kafka.
β’ Modern Data Stack: Snowflake/BigQuery/Databricks.
β’ GenAI Stack: LangChain/LlamaIndex, Vector DBs (Pinecone/Qdrant/pgvector), LLM orchestration (JSON mode, function calling).
β’ Orchestration: Airflow/Dagster/Prefect.
Only apply if your answer is "YES" to all the above requirements. If you do not meet every single criteria, your application will be automatically rejected.
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