Senior Data Engineer with Databricks and Apache Airflow Experience

EazyML, Recognized by Gartner, EazyML (www.EazyML.com) specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai.

This is a full-time Remote role for a Senior Data Architect / Lead Data Engineer (Databricks, Apache Airflow & BERT/LLM Expert)

The person can work from home (anywhere in INDIA, job location is in India).

We're hiring a Senior Data Architect to design and lead scalable, cloud-native data platforms using Databricks, Apache Airflow, Spark, and Delta Lake with experience in data architecture, ETL/ELT strategy, and orchestration, building high-performance pipelines in Python and SQL, and partnering with ML teams on LLM/BERT-based data workflows. This role emphasizes architecture, governance, and best practices, with hands-on experience with data engineering.

In this role, you will architect and build high-performance data engineering solutions, develop robust ETL/ELT pipelines, and lead initiatives across data architecture, feature engineering, and AI-driven data workflows. You will work extensively with Databricks, Spark, Delta Lake, Airflow, and Python, while applying modern GenAI tools to improve developer productivity and data quality.

Key Skills:

Databricks Apache Airflow Spark Delta Lake Data Architecture ETL/ELT Python SQL Azure LLMs/NLP

Experience: 3+ years | CS/IT degree preferred