Join EY's Data and Analytics team as a Senior Manager, Databricks Architect. This client-facing role is pivotal in delivering complex data, analytics, cloud, and AI transformation programs. You will lead end-to-end delivery, architectural integrity, and possess commercial ownership, stakeholder leadership, and hands-on architecture oversight. Your expertise will translate business priorities into secure, scalable, and cost-effective data solutions.

EY's Consulting Services offers a unique, industry-focused approach, leveraging deep expertise with strong functional and technical capabilities. Our Data and Analytics team tackles significant challenges, capitalizing on opportunities to enhance business outcomes and drive value through embedded analytical practices at the core of client decision-making.

Take ownership of large-scale data and analytics program delivery, from initial discovery to benefits realization. Establish integrated plans, governance forums, and manage all aspects of delivery including scope, budget, quality, risks, and change control. Drive appropriate Agile or hybrid delivery methodologies. Lead platform modernization, releases, and transitions to operations with clear readiness criteria. Define enterprise data strategy, target-state architectures, and transformation roadmaps. Architect modern cloud-native data platforms, including data lakes, lakehouses, and streaming solutions. Lead conceptual, logical, and physical data modeling using various approaches. Define robust integration and ingestion patterns. Evaluate platforms and products, producing architecture decisions and blueprints. Provide continuous architecture assurance through design reviews and technical risk management. Ensure solutions meet stringent requirements for scalability, security, privacy, and cost optimization. Establish comprehensive data governance principles and embed data quality controls. Partner with cross-functional teams to ensure audit-ready solutions. Build trusted relationships with C-suite sponsors and business leaders. Translate complex business needs into clear solution options and investment cases. Manage program financials, forecasting, and vendor relationships. Identify opportunities for account growth and reusable assets. Lead multidisciplinary teams, fostering a high-performance culture and mentoring senior practitioners.

A Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is required. Candidates should possess typically 15+ years of technology experience, with substantial experience in delivering enterprise data programs and acting in a lead data or solution architecture capacity. Demonstrable ownership of large, complex, multi-team programs with responsibility for delivery governance, senior stakeholders, budgets, quality, and commercial outcomes is essential. Strong experience designing and delivering cloud data platforms on Microsoft Azure, AWS, or Google Cloud, with deep expertise in at least one ecosystem, is crucial. Proven experience with modern data platforms and technologies such as Microsoft Fabric, Azure Databricks, Synapse Analytics, Snowflake, Databricks, Spark, Kafka, cloud object storage, and modern BI tools is expected. Advanced knowledge of SQL and a strong working understanding of Python or PySpark, data integration, distributed processing, DevOps, CI/CD, infrastructure automation, and observability are necessary. Solid command of data modeling, metadata management, data quality, master data management, governance, privacy, security, and lifecycle management is required. Experience architecting AI-ready data foundations and integrating machine learning, generative AI, vector, semantic, ontology, or knowledge graph capabilities is desirable. Excellent executive communication, consulting, negotiation, facilitation, decision-making, and conflict-resolution skills are vital for success in this role.