TL;DR

Associate Manager Data Engineering (Databricks): Architecting and implementing end-to-end data solutions using Databricks, Spark, Delta Lake, and cloud platforms with an accent on data migration, transformation, and governance. Focus on building and optimizing data pipelines, leading teams, and ensuring compliance and security in healthcare data environments.

Location: Karnataka, India

Company

Technology-led healthcare solutions provider focused on enabling healthcare organizations to be future-ready through innovation and collaboration.

What you will do

Architect and implement data solutions using Databricks, Spark, Delta Lake, and cloud services (AWS, Azure, GCP).
Lead data migration and transformation from legacy systems to modern lakehouse architectures.
Collaborate with stakeholders to gather requirements and translate them into technical designs.
Build and optimize data pipelines using PySpark, SQL, and Databricks Workflows.
Ensure robust data governance, security (RBAC, Unity Catalog), and compliance.
Provide technical leadership and mentorship to engineering teams and guide CI/CD practices.

Requirements

Must have 7+ years experience in data engineering or cloud architecture and 3+ years hands-on with Databricks.
Strong proficiency in Python, PySpark, SQL, Spark, Delta Lake, and Lakehouse architecture.
Experience with cloud platforms AWS, Azure, GCP and their integration with Databricks.
Familiarity with data governance, observability, performance optimization, CI/CD, DevOps, and DataOps workflows.
Excellent communication and stakeholder management skills.

Nice to have

Databricks certifications (Data Engineer Associate/Professional, Lakehouse Architect).
Experience with MLflow, TensorFlow, or other ML frameworks.

Culture & Benefits

Equal opportunity employer committed to inclusion and diversity.
Work at the intersection of healthcare and technology with mentorship from industry experts.
Global fast-track career growth opportunities.