Data Engineer
EXL Talent Acquisition Team
Senior Azure Databricks Data Engineer
About this role
Job Summary
We are seeking a skilled Databricks Engineer with minimum of 5+ years of hands-on in Databricks who can design, develop, and optimize scalable data platforms and analytics solutions using the Databricks Lakehouse Platform. The ideal candidate will have expertise in data engineering, ETL/ELT development, cloud technologies preferably Azure, and big data processing to support enterprise analytics and AI initiatives.
Job Description: Azure / Databricks Data Engineer (9-15 Years Experience)
Senior Azure Databricks Data Engineer
Experience
9-15 Years of IT Experience
Location
Hybrid
Job Summary
We are seeking a skilled Databricks Engineer with minimum of 5+ years of hands-on in Databricks who can design, develop, and optimize scalable data platforms and analytics solutions using the Databricks Lakehouse Platform. The ideal candidate will have expertise in data engineering, ETL/ELT development, cloud technologies preferably Azure, and big data processing to support enterprise analytics and AI initiatives.
Key Responsibilities
- Design, develop, and maintain data pipelines using Databricks, Apache Spark, and cloud-native services.
- Build and optimize ETL/ELT workflows for large-scale structured and unstructured data.
- Develop data models and implement data quality, validation, and governance frameworks.
- Integrate data from multiple sources into a unified Lakehouse architecture.
- Optimize Spark jobs and Databricks workloads for performance, scalability, and cost efficiency.
- Implement security controls, access management, and data governance using Unity Catalog.
- Collaborate with business, analytics, and AI/ML teams to deliver trusted data products.
- Monitor, troubleshoot, and resolve data pipeline issues.
- Support CI/CD, DevOps, and infrastructure automation practices.
- Maintain technical documentation and best practices.
Required Technical Skills Core Technologies
- Databricks Lakehouse Platform
- Apache Spark / PySpark
- Delta Lake
- SQL
- Python
Data Engineering
- ETL / ELT Development
- Data Modeling
- Data Warehousing
- Data Quality & Validation
- Streaming & Real-Time Processing
Governance & Security
- Unity Catalog
- Data Lineage
- Row-Level Security
- Access Control & Compliance
- Data Governance Frameworks
Cloud & DevOps
- Azure / AWS / GCP
- Terraform
- GitHub Actions / Azure DevOps
- CI/CD Pipelines
Analytics & AI
- Semantic Layers
- Data Products
- BI Platforms
- Machine Learning Support
- Generative AI & RAG Architectures
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
- 9-15 years of experience in Data Engineering and Data Warehousing.
- Minimum 5+ years of hands-on experience with Azure Data Engineering technologies.
- Minimum 4+ years of hands-on experience with Azure Databricks and Spark ecosystem.
- Strong understanding of data lake, lakehouse, and cloud-native architecture patterns.
- Experience in handling large-scale structured and unstructured datasets.
- Strong analytical, problem-solving, and troubleshooting skills.
Preferred Qualifications
- Microsoft Certified: Azure Data Engineer Associate (DP-203).
- Databricks Certified Data Engineer Associate/Professional.
- Experience with Snowflake, Power BI, or Microsoft Fabric.
- Experience in real-time streaming solutions using Kafka/Event Hubs.
- Exposure to Data Governance and Master Data Management initiatives.
Soft Skills
- Strong stakeholder management and communication skills.
- Ability to lead technical initiatives and drive architecture discussions.
- Experience working in Agile/Scrum environments.
- Excellent documentation and presentation skills.
- Strong mentoring and team leadership abilities.
Nice to Have
- Microsoft Fabric
- Power BI
- Azure Event Hubs
- Kafka
- Machine Learning data pipelines
- Data Governance tools such as Purview
Support critical and nonproduction databases in multitenant, highstress environments.
Support applications Installation, Configuration, Management, and Monitoring of databases in a SOX and PHI compliant environment
Installation, configuration, and integration of thirdparty applications and tools
Development of procedures for automated monitoring and proactive intervention, preventing customer impact Bachelors Degree/ Post Bachelor Degree 8 - 10+ Years
Frequently Asked Questions
Is the salary disclosed for the Senior Azure Databricks Data Engineer position at EXL Talent Acquisition Team?
The salary for this Senior Azure 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 Azure Databricks Data Engineer position at EXL Talent Acquisition Team located?
This Senior Azure Databricks Data Engineer role at EXL Talent Acquisition Team is based in New York, United States. 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 Azure 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 Azure Databricks Data Engineer job at EXL Talent Acquisition Team posted?
This Senior Azure Databricks Data Engineer position at EXL Talent Acquisition Team was posted on Sep 24, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Azure Databricks Data Engineer
EXL Talent Acquisition Team
You'll be redirected to EXL Talent Acquisition Team's official application page on oraclecloud.