Job Summary

Lead the design, development, and deployment of scalable analytics solutions leveraging Databricks and modern data engineering practices. Partner with risk, audit, and business stakeholders to deliver analytics-driven insights, automation, and risk monitoring capabilities across enterprise processes.

Role

Manager Databricks Engineering & Risk Analytics

Manager | Experience: 7+ years

Key Responsibilities

- Design, develop, and maintain scalable data engineering and analytics solutions using Databricks and cloud-based platforms.
- Build and optimize data pipelines, ETL/ELT frameworks, and reusable analytics assets using PySpark and related technologies.
- Lead implementation of CI/CD processes, deployment automation, code versioning, testing frameworks, and release management practices.
- Collaborate with Internal Audit, Risk, and business teams to translate business requirements into analytical solutions and risk monitoring capabilities.
- Drive the development of risk analytics, continuous monitoring, exception detection, and data-driven assurance solutions.
- Ensure adherence to data governance, security, performance, and engineering best practices.
- Mentor junior team members and support capability building across data engineering and analytics disciplines.
- Partner with global stakeholders to prioritize requirements, manage delivery timelines, and ensure successful project execution.

Critical Skills and Experience
- Strong hands-on experience with Databricks engineering,



including architecture, development, optimization, and deployment of enterprise-scale solutions.
- Extensive experience with CI/CD processes, DevOps practices, source control, automated testing, and deployment frameworks.
- Experience designing and implementing modern data engineering solutions across cloud-based environments.
- Strong understanding of data modeling, data pipelines, performance tuning, and scalability considerations.
- Proven ability to translate complex technical solutions into business and risk outcomes.
- Strong stakeholder management, communication, and leadership skills.
- Experience leading and mentoring teams while managing multiple priorities and engagements.

Domain Expertise

Good to have - Demonstrated working expertise in Risk Analytics, Internal Controls, Compliance Monitoring, Internal Audit Analytics, Continuous Controls Monitoring (CCM), or related risk management disciplines.

Preferred

- Internal Audit experience.
- Proficiency in PySpark, Python, and large-scale data processing.
- Experience developing risk analytics, controls monitoring, and audit analytics solutions.
- Robust knowledge of Power BI and business intelligence reporting.
- Experience working with enterprise data platforms such as Snowflake, Azure Data Services, or similar cloud ecosystems.
- Exposure to SOX, compliance, financial controls, operational risk, or governance programs.
- Databricks and cloud platform certifications preferred.

📌 Risk Analytics - Manager - Databricks (Noida)
🏢 EY
📍 Noida