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Delhi · On-site · Oct 6
1 views
12 open roles1 posted in 7d12 in 30d
Hiring: Engineering
Job description
Overview
Responsibilities - Design and lead Databricks Lakehouse architecture for large-scale healthcare data platforms.
Responsibilities
- Design and lead Databricks Lakehouse architecture for large-scale healthcare data platforms.
- Define scalable data architectures for batch and real-time healthcare data processing.
- Design data ingestion, transformation, storage, and consumption patterns using Databricks.
- Develop architecture using Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables/Lakeflow.
- Integrate data from multiple healthcare sources, including clinical, claims, eligibility, provider, and patient systems.
- Design robust ETL/ELT pipelines using PySpark, SQL, and Databricks.
- Establish data quality, validation, reconciliation, lineage, and governance frameworks.
- Design secure healthcare data solutions while considering HIPAA and PHI/PII protection requirements.
- Work with cloud platforms such as Azure, AWS, or GCP to build scalable data solutions.
- Collaborate with data engineers, data scientists, analysts, product owners, and business stakeholders.
- Define technical standards, architectural patterns, and best practices for Databricks development.
- Lead performance optimization and cost-management initiatives across the Databricks platform.
- Provide technical leadership and mentoring to data engineering teams.
- Participate in Agile ceremonies and contribute to technical planning and roadmap discussions.
Qualifications
- Strong hands-on experience with Databricks.
- Expertise in Lakehouse architecture and Delta Lake.
- Solid PySpark and SQL skills.
- Strong knowledge of ETL/ELT and data modeling.
- Knowledge of CI/CD, Git, and DevOps practices.
- Strong understanding of data security and access control.
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Last updated 27 October 2026
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