Senior Enterprise Data Architect

Senior Enterprise Data Architect Saul Ewing is seeking a Senior Enterprise Data Architect to serve as the firm's senior technical authority for enterprise data architecture, governance, analytics, and platform engineering. Reporting to the Director of Development Services, this individual will lead the strategic design and administration of the firm's SQL Server environments, enterprise data warehouse, ETL/ELT pipelines, and Azure cloud capabilities while establishing data governance standards and delivering scalable business intelligence solutions across financial, operational, HR, CRM, and practice management platforms firmwide. Essential Functions and Responsibilities Data Architecture & Platform Engineering Design and govern the firm's enterprise data architecture, including data warehouse, data integration, and analytics platforms Lead SQL Server environment administration, performance tuning, and database architecture across enterprise systems Develop and maintain dimensional data models, entity-relationship models, and enterprise data structures Architect and implement ETL/ELT pipelines, API integrations, and data feeds connecting core firm systems Evaluate and integrate Azure data technologies and cloud data platform capabilities into the firm's data strategy Data Governance & Standards Establish and maintain authoritative system-of-record designations, data definitions, and metadata standards across the enterprise Implement and evolve master data management (MDM) practices, data ownership models, and data quality frameworks Define and enforce data governance policies in accordance with firm information security and compliance requirements Collaborate with stakeholders to ensure consistent, reliable data across financial, HR, CRM, and operational platforms Reporting & Analytics Enablement Lead the strategy, design, and delivery of the firm's reporting platforms and business intelligence infrastructure Partner with firm leadership and department heads to translate business requirements into scalable data solutions Improve and expand access to reliable business information to support executive and operational decision-making Assess emerging data technologies and recommend adoption strategies aligned with the firm's long-term data roadmap Collaboration & Technical Leadership Serve as the firm's senior technical resource on all enterprise data matters, acting as a trusted advisor to IT and business stakeholders Engage with vendors, system integrators, and professional services partners to evaluate and implement data solutions Document data architectures, integration specifications, and governance standards to support institutional knowledge Provide technical guidance and mentorship across the IT team on data-related disciplines Knowledge and Skills Required Proven experience designing enterprise data warehouses using dimensional modeling methodologies (Kimball, Inmon, or hybrid) Demonstrated experience with ETL/ELT development, data pipeline architecture, and API-based system integrations Hands-on experience with Azure data technologies (e.g., Azure SQL, Azure Data Factory, Azure Synapse, or equivalent) Strong knowledge of data governance principles, master data management, metadata standards, and data quality practices Experience supporting enterprise systems spanning finance, HR, CRM, and operations within a professional services environment Excellent communication and stakeholder engagement skills, with the ability to translate complex technical concepts for non-technical audiences Education and Experience Requirements Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent professional experience will be considered 7+ years of progressive experience in enterprise data architecture, data engineering, or a closely related discipline Expert-level proficiency in Microsoft SQL Server administration, database design, and advanced T-SQL development Preferred Experience in a legal, professional services, or similarly complex, multi-office organization Familiarity with legal technology platforms and practice management or financial management systems Microsoft Azure or other relevant cloud data platform certifications Experience with modern BI reporting platforms and analytics visualization tools Knowledge of information security frameworks and data privacy compliance practices Pay Type: Salaried Compensation: The pay for this position will be determined based on relevant skills, experience, education, external market data, internal equity, and other job-related factors. The anticipated pay range for this role is between $140,000 - $170,000 annually. Saul Ewing follows a hybrid work schedule. Candidates must reside within a reasonable commuting distance of one of our office locations. Saul Ewing LLP