Risk Analytics - Manager - Databricks

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Manager – Databricks Engineering & Risk Analytics Manager  |  Experience: 7+ years  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.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.