Role type : Data Engineering Leadership
Work location : Bengaluru
Our customer is a well-funded healthcare technology company dedicated to modernising physician practices and emergency departments through automation and advanced revenue cycle management. They enable care teams to efficiently scale high-quality, compliant care while improving operational efficiency and patient outcomes.
What you need :
- 15+ years of experience in data engineering with the last few years in leadership in AI-driven environments.
- Proven ability to design and scale enterprise-grade data architectures, models, and governance frameworks.
- Strong hands-on expertise with Databricks, Airflow, Apache Spark, RDBMS, storage, and cloud platforms (Azure / AWS / GCP).
- Experience transforming legacy systems to modern, cloud-native data platforms and setting CI / CD / MLOps standards.
- Knowledge of LLMs, RAG, vectorization, and modern data compliance / security frameworks (HIPAA / SOC2 preferred).
- Background in DevOps environments, including automation and prior coding experience (.NET, SQL Server).
- Strong people leadership hiring, mentoring, managing multi-location teams, and driving delivery under pressure.
What you would do :
Lead data engineering strategy and execution for internal platforms and workflows.Architect and optimize cloud-based data solutions with a focus on cost and performance.Drive development of scalable data platforms and self-service capabilities for cross-functional users.Partner with product, engineering, and business leaders to ensure seamless system integration.Oversee development quality through code reviews, delivery governance, and KPI tracking.Mentor engineers, foster a high-performance culture, and manage escalations and delivery risks.Align teams to product vision, ensure accountability, and continuously improve engineering processes.