Senior Databricks Data Engineer

We are seeking a Senior Databricks Data Engineer to provide technical leadership for a large-scale enterprise BI modernization initiative. This is not a lift-and-shift migration effort. The role will lead the systematic transformation of a complex Microsoft BI ecosystem (SSIS SSAS SSRS) into scalable governed Databricks Lakehouse architecture.

The Senior Engineer will establish architectural standards define repeatable migration frameworks and guide the modernization of thousands of legacy data assets into reusable high-performance Spark-based solutions. This individual combines deep hands-on data engineering expertise with architectural thinking mentorship capability and strong cross-functional collaboration skills.

Key Responsibilities

• Lead the architecture and implementation of enterprise-scale data pipelines on Databricks.
• Serve as technical lead for the migration of a 20TB Microsoft SQL Server data warehouse to the Databricks Lakehouse Platform.
• Design and implement reusable Spark-based pipeline frameworks to replace thousands of SSIS workflows.
• Deconstruct SSAS cube logic and redesign it into Lakehouse-native semantic models.
• Replace legacy SSRS reporting ecosystems with modern governed analytics layers.
• Rebuild dimensional models within Delta Lake using scalable Lakehouse design patterns.
• Define data modeling standards ingestion frameworks CI/CD processes and operational best practices.
• Implement and enforce Medallion architecture standards (Bronze/Silver/Gold) with performance optimization and governance controls.
• Optimize Spark workloads for scalability reliability and cost efficiency.
• Implement governance lineage security and monitoring using Unity Catalog and related platform tooling.
• Mentor engineers conduct architectural reviews establish and maintain engineering standards.
• Partner with BI analytics and AI/ML teams to enable advanced analytics and downstream use cases.
• Influence platform roadmap and architectural decisions.

Qualifications :

• Bachelors or masters degree in computer science engineering or related field.
• 8 12 years of data engineering experience.
• 5 years of hands-on experience building and operating production workloads on Databricks.
• Deep expertise in SQL PySpark and distributed data processing.
• Demonstrated leadership in structured enterprise BI modernization programs.
• Proven experience replacing SSIS-based ETL with scalable Spark-based frameworks.
• Strong understanding of SSAS cube architecture and semantic layer modernization.
• Experience designing and operating high-volume enterprise-grade analytical data platforms.
• Strong knowledge of Delta Lake Lakehouse and Medallion architectures data versioning and Workflows/Jobs orchestration.
• Experience implementing CI/CD testing frameworks and operational reliability for data platforms.
• AWS-based Databricks experience strongly preferred.

Preferred Skills

• Experience designing semantic layers and BI integrations (Power BI preferred).
• Exposure to Databricks AI/ML capabilities (MLflow feature engineering feature stores).
• Experience establishing enterprise migration patterns across distributed teams.
• Prior technical leadership experience in global or multi-team environments.
• Strong stakeholder engagement and communication skills.
• Databricks certification is a plus.

Additional Information :

Customized Energy Solutions India offers competitive compensation commensurate with experience along with performance-based incentives aligned to individual and company results. Our benefits are designed to support both professional and personal well-being and include comprehensive medical insurance coverage for associates and eligible dependents generous paid time off and structured opportunities for professional development through training programs and skill enhancement initiatives. We are committed to creating an environment where associates are supported challenged and positioned for long-term career growth.

Customized Energy Solutions provides equal employment opportunities to all applicants without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

Remote Work :

No

Employment Type :

Full-time