Manager – Databricks Engineering & Risk Analytics

Manager – Databricks Engineering & Risk Analytics

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.

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.

• Strong 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.

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