Role Summary

Technical leader responsible for the modernization and future-state architecture of the Sales Validation platform.

Responsibilities

- Lead Databricks architecture and delivery

- Drive Synapse-to-Databricks migration

- Establish engineering standards and reusable frameworks

- Mentor engineers and conduct design reviews

- Own technical delivery across major workstreams

- Drive performance optimization and scalability

Required Skills

Databricks (Highest Priority)

- Databricks

- PySpark

- Spark SQL

- Delta Lake

- Unity Catalog

- Databricks Workflows

- Databricks Asset Bundles

- Lakehouse Architecture

Azure Platform

- Azure Data Factory (ADF)

- ADLS Gen2

- Azure SQL

- Azure Security Patterns

Migration Experience

- Synapse Pipelines

- Synapse Spark

- Synapse SQL Pools

- Synapse Notebooks

- Synapse Data Flows





- Modernization of legacy ETL workloads

Engineering

- Advanced SQL

- Data Modeling

- GitLab CI/CD

- Performance Tuning

- Code Reviews

GenAI

- Hands-on experience with GenAI coding assistants (Claude Code, GitHub Copilot, or similar) for AI-assisted development.

- Prompt engineering skills writing explicit instructions and feedback to guide AI toward desired output.

- Ability to critically review and validate AI-generated code and content before use.

- Basic understanding of LLM concepts — RAG, context windows, hallucinations, and responsible AI practices.

Preferred

- Apache Airflow

- Snowflake

- Data Governance

- Enterprise-scale Azure platform implementation

📌 AI Lead Data Engineer (Chennai)
🏢 Platlap Solutions
📍 Chennai