ey Responsibilities

1. Architectural Strategy & Design

- Architect and scale up-to-date data solutions (ETL/ELT pipelines, data lakes, and data warehouses) across multiple major cloud platforms like Databricks, Snowflake, BigQuery, or Microsoft Fabric.
- Define standard patterns for integrating operational application layers with analytical data systems seamlessly.

2. Hands-on Execution & Engineering Excellence

- Maintain a hybrid approach by remaining hands-on with architecture blueprints, system design, prototyping, and high-impact code reviews.
- Lead by example to champion clean code, robust CI/CD pipelines, containerization (Kubernetes/Docker), and reliable distributed systems.
- Troubleshoot complex architectural bottlenecks across application and data layers.

3. AI & Intelligent Automation





- Drive the production deployment of Agentic AI frameworks, autonomous workflows, and sophisticated prompt engineering protocols.
- Architect robust Retrieval-Augmented Generation (RAG) pipelines that bridge enterprise application microservices with large-scale analytical data stores safely and securely.

4. Technical Leadership & Calibration

- Mentor, guide, and upskill senior engineers, tech leads, and software architects.
- Collaborate closely with Practice Owners and Business Leaders to align engineering capabilities with client demands and emerging technology trends.

📌 Lead Data Engineer (Hyderabad)
🏢 Paltech Consulting
📍 Hyderabad