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