Senior Enterprise Data Architect

Saul Ewing LLP; Wilmington (DE); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Saul Ewing LLP seeks a Senior Enterprise Data Architect to act as the firm’s senior technical authority on data architecture, governance, analytics, and platform engineering. You will lead design and administration of SQL Server environments, data warehouse, ETL/ELT pipelines, and Azure cloud capabilities while defining governance standards across finance, HR, CRM, and practice management systems.

You will collaborate with IT and business stakeholders to deliver scalable BI solutions, while

Qualifications

• Bachelor's degree or equivalent professional experience in a related field.
• 7+ years of progressive experience in enterprise data architecture or data engineering.
• Expert-level proficiency in SQL Server administration, database design, and T-SQL.

Responsibilities

• Design and govern the firm's enterprise data architecture, including data warehouse and data integration.
• Lead SQL Server administration, performance tuning, and database architecture across enterprise systems.
• Architect and implement ETL/ELT pipelines, data feeds, and API integrations.
• Establish data governance policies and metadata standards across the enterprise.

Skills

Enterprise data architecture

ETL/ELT development

Azure data technologies

Data governance

Stakeholder communication

Experience in professional services

Education

Bachelor's degree in Computer Science or related field

Tools

Azure SQL

Azure Data Factory

Azure Synapse

Job description

JOB TITLE: Senior Enterprise Data Architect

OFFICE LOCATION: Open

DEPARTMENT: Information Systems

REPORTS TO: Director of Development Services

FLSA STATUS: Full time/ Exempt

JOB SUMMARY:

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.