Senior Data Architect/ Engineer with DataBricks / Apache Airflow and BERT Experience

EazyML, founded by Bell Labs research veterans, specializes in Responsible AI. Recognized by Gartner, EazyML (www.EazyML.com) provides a Transparent ML platform that facilitates proactive compliance and sustainable automation. EazyML's solutions align AI/ML with business processes for quick benefits and alleviating risks. The company is associated with breakthrough startups like Amelia.

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

The person can work from home (anywhere in INDIA, job location is in India).We’re seeking a senior data engineering leader with deep expertise in

Databricks ,

Python , and

BERT/LLM-based AI solutions . You will design and maintain scalable data architectures, build advanced data pipelines, and lead an enterprise program on ETL, data engineering and feature engineering using Databricks engineering, cloud-native development, and Gen-AI productivity tools.

The role requires strong ability to demonstrate best practices using GitHub Copilot and AI assistants for pipeline creation, data-quality checks, and MLOps.

Qualifications Senior-level, In-depth, hands-on expertise in

Databricks , Spark, Delta Lake, and Azure. Strong skills in

data architecture, data modeling, data engineering and data governance ,

methods and tools used for data ingestion, augmenting and transformation

like ETL/ELT tools, programming languages (i.e. Python, Spark), streaming technologies and leveraging APIs. Hands-on experience with

BERT/LLMs , embeddings, and NLP pipelines. Proficient in Python, SQL, and ETL/ELT workflows. Excellent problem-solving, analytical, and communication skills. Bachelor’s / Master’s degree in CS, IT, or related field 3+ years of experience