Data Engineer
EXL Talent Acquisition Team
Senior Databricks Data Engineer
About this role
We are looking for a Senior Databricks Data Engineer with strong expertise in Databricks, cloud data architecture, data engineering, and healthcare data. The ideal candidate will be responsible for designing scalable, secure, and high-performance data platforms supporting healthcare analytics and data integration.
The candidate should have strong knowledge of modern data architecture, Lakehouse architecture, SQL, Python, data governance, and healthcare domain workflows.
- 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.
- Strong hands-on experience with Databricks.
- Expertise in Lakehouse architecture and Delta Lake.
- Strong PySpark and SQL skills.
- Experience with Unity Catalog and data governance.
- Experience designing enterprise-scale data platforms.
- Strong knowledge of ETL/ELT and data modeling.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience with data integration and orchestration tools.
- Knowledge of CI/CD, Git, and DevOps practices.
- Strong understanding of data security and access control.
- Experience with Agile/Scrum methodologies.
Frequently Asked Questions
Is the salary disclosed for the Senior Databricks Data Engineer position at EXL Talent Acquisition Team?
The salary for this Senior Databricks Data Engineer role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Databricks Data Engineer position at EXL Talent Acquisition Team located?
This Senior Databricks Data Engineer role at EXL Talent Acquisition Team is based in Noida, Uttar Pradesh, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Senior Databricks Data Engineer position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Senior Databricks Data Engineer job at EXL Talent Acquisition Team posted?
This Senior Databricks Data Engineer position at EXL Talent Acquisition Team was posted on Aug 17, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Databricks Data Engineer
EXL Talent Acquisition Team
You'll be redirected to EXL Talent Acquisition Team's official application page on oraclecloud.