
501 - 1000 employees
Forget everything you thought you knew about professional services firms. We’re smashing the paradigm with a new kind of enterprise—one that provides legal services, advocacy and business strategies under one roof. After 50 years, we’re still the future of professional services firms.
🕒 March 12
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501 - 1000 employees
Forget everything you thought you knew about professional services firms. We’re smashing the paradigm with a new kind of enterprise—one that provides legal services, advocacy and business strategies under one roof. After 50 years, we’re still the future of professional services firms.
• Design, govern, and advance the firm’s data architecture. • Conduct a current-state assessment of systems, data sources, processes, and flows; identify gaps and propose strategic improvements. • Define and implement the firmwide data architecture strategy, including core standards, data ownership models, governance frameworks, and best practices. • Develop and maintain architectural documentation including enterprise data models, diagrams, patterns, principles, and design specifications. • Lead the design and development of ETL/ELT processes, APIs, and data pipelines supporting both on-prem and cloud-based systems. • Drive data governance standards including metadata management, data lineage, master data management (MDM), and schema management. • Collaborate with firm leadership, business services, and legal practice groups to identify high-value opportunities for data-driven insights.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field. • 5+ years of experience as a Data Architect, Data Engineer, or related role, ideally within a law firm or other professional-services environment. • Expertise in data modeling, data warehousing, data lake/lakehouse architecture, and data integration. • Strong experience with Microsoft Fabric and/or Azure Data Services (Data Factory, Synapse, Power BI, Data Activator) or equivalent cloud platforms. • Proficiency with modern data-architecture patterns: Delta Lake, Parquet, lakehouse design, medallion architecture, and scalable ingestion/ETL/ELT frameworks. • Strong understanding of data governance practices, including MDM, metadata management, lineage, and data quality. • Excellent analytical, conceptual, and problem-solving skills with high attention to detail. • Demonstrated success influencing executive stakeholders and collaborating across technical and business teams. • Experience working within regulated environments with sensitive data and collaborating closely with information-security teams. • Familiarity with legal-industry systems (preferred): iManage, Aderant, timekeeping platforms, Salesforce, Workday, and other line-of-business systems.
• A full range of medical, financial and/or other benefits dependent on the position
Apply Now🕒 March 10
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