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