Designs and maintains the firm’s Data Lakehouse architecture, including data models, integrations, pipelines, mappings, security, governance, and data quality. Translates business and reporting requirements into scalable data solutions supporting business intelligence, analytics, reporting, and AI. Collaborates with database, application, development, and business teams; documents architecture and dependencies; troubleshoots integration issues; evaluates emerging cloud and data technologies; and provides technical guidance throughout implementation.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. The role translates legal and business requirements into secure web, desktop, cloud, API, and Microsoft 365 solutions. Responsibilities include stakeholder and vendor collaboration, technical leadership, application lifecycle planning, and implementation of AI-enabled and generative AI capabilities using LLMs and related technologies. The developer also contributes to standards, architecture, automation, security, modernization, and production support.

Owns the enterprise Data Lakehouse platform, including operations, integrations, validation, monitoring, vendor management, releases, security controls, documentation, and lifecycle improvements. Translates business and data requirements into platform solutions and coordinates stakeholders, technology teams, and vendors. Provides technical leadership for analytics, reporting, business intelligence, and AI use cases without direct personnel management.