Senior DataBricks Architect with Apache Airflow & 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, Apache Airflow & 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