Data Platform Lead

About the role

The Database Platform Lead is responsible for the overall ownership, direction, and operation of the Firm’s enterprise Data Lakehouse platform. The position provides technical and functional leadership for the platform and serves as a primary point of coordination among business stakeholders, technology teams, vendors, and other resources supporting the Firm’s data strategy. The Database Platform Lead works closely with business stakeholders to understand business processes, data requirements, reporting needs, and integration requirements and translates those needs into actionable platform and data solutions. The position works closely with the Data Architect to ensure that data integrations and platform implementations follow approved architecture, technology standards, and established requirements, and works with downstream technology teams to ensure that data supports business intelligence, reporting, analytics, and AI use cases. The position is accountable for the operational health and lifecycle of the Data Lakehouse platform, including monitoring, data and reporting validation, issue resolution, vendor management, release coordination, documentation, and transition of supported capabilities to appropriate technology teams. The Database Platform Lead provides leadership and direction to resources supporting Data Lakehouse initiatives and helps establish priorities, standards, and best practices, while remaining an individual contributor without direct personnel-management responsibility.

Responsibilities

• Provides technical and functional leadership for the Firm’s Data Lakehouse platform, establishing priorities and ensuring the platform aligns with Firm business objectives, technology strategies, and established standards.
• Owns the ongoing operation, configuration, enhancement, and lifecycle of the Data Lakehouse platform and serves as the primary point of coordination for platform-related requests and initiatives.
• Works with business stakeholders to understand business processes, data requirements, reporting needs, and integration requirements and translates those needs into actionable platform and data requirements.
• Works closely with the Data Architect to ensure data structures, integrations, and platform implementations follow approved architecture, security requirements, technology standards, and established requirements.
• Oversees the integration of data from Firm applications and other approved sources, ensuring data is appropriately identified, integrated, validated, and available to support business intelligence, reporting, analytics, and AI use cases.
• Monitors platform operations and data integration processes; investigates failed or incomplete loads, data discrepancies, connectivity issues, and other conditions affecting data availability or quality, coordinating resolution with appropriate internal teams, source system owners, and vendors.
• Establishes and maintains processes for validating data and reporting results, including reconciliation of source and target data and investigation and resolution of discrepancies.
• Serves as the primary Firm contact for the Data Lakehouse platform vendor, managing the vendor relationship, coordinating support and implementation activities, escalating issues, evaluating capabilities, and contributing to the platform roadmap.
• Coordinates platform upgrades, releases, configuration changes, and other significant changes, including impact assessment, stakeholder coordination, testing, scheduling, implementation, and post-change validation.
• Works with Information Security, Infrastructure, and other technology teams to ensure appropriate security, access, connectivity, and operational controls are established and maintained.
• Maintains platform documentation, including system and integration diagrams, data flows, dependencies, operational procedures, support processes, and vendor escalation information, and coordinates the transition of supported capabilities to appropriate technology teams.
• Works closely with the Data Architect, Data Visualization Developer, AI Solutions Integration Engineer, Senior Software Developers, and other technology resources to ensure the platform effectively supports downstream data, reporting, analytics, and AI solutions.
• Provides technical guidance