Kslaw
Legal Business Data Architect
Atlanta, Georgia · Full-time
Sponsorship not specifiedDetected 1 day ago
PythonSQLMachine LearningData EngineeringData ScienceNLPComplianceProject ManagementCRMBusiness DevelopmentFinancial AnalysisAccountingResearchLeadershipCommunicationCollaborationProblem SolvingFinancial Reporting
About the role
- King & Spalding is a leading global law firm with a commitment to excellence, innovation, and the seamless delivery of legal services.
- We harness innovative technology and exceptional talent to meet the complex needs of our clients in a fast-paced and dynamic legal landscape.
- This role uniquely blends business architecture and data engineering, with a primary focus on supporting internal operations while also enabling transformational technology solutions for our legal practice groups.
Responsibilities
- Develop and Maintain Business Architecture: Create and maintain business architecture models that support the organization's strategic objectives, with specific emphasis on legal operations and business functions.
- Data Strategy & Governance: Define and implement a comprehensive data strategy that aligns with firm-wide business goals and facilitates effective data governance across all internal departments.
- Data Flow Management: Design and manage data flows across the organization, ensuring data integrity, availability, and seamless integration between practice management, financial, HR, marketing, professional development, and operational systems.
- Data Engineering: Implement data engineering practices to build robust data pipelines, ensuring efficient processing and transformation of structured and unstructured legal and business data.
- Analytics Infrastructure: Develop and maintain analytics platforms that enable data-driven decision-making for business operations, resource planning, and strategic initiatives.
- Legal Practice Group Support & AI Integration
- Legal Technology Integration: Active in the assessment, benchmarking, and deployment of legal technologies (AI, document automation, contract analysis, e-discovery, and research tools) that leverage the firm's data architecture.
- Technology Assessment: May conduct research on legal technology trends and emerging platforms and provide support to pilot programs for practice-specific applications and client-facing technology solutions.
- Training & Documentation: Assist the enablement and training teams with instructions and deliverables to attorneys and staff. Maintain thorough documentation of prototypes, experiments, design specifications, and methodologies.
- Tools and Technology Evaluation: Evaluate and recommend tools and technologies that support the data architecture framework, with consideration for legal-specific platforms and vendor relations.
Requirements
- 5+ years of proven experience in business data architecture and data engineering, with demonstrated experience in a law firm or professional services environment.
- Hands-on experience architecting and integrating data from multiple business systems including:
- Familiarity with enterprise architecture frameworks (such as TOGAF)
- Strong proficiency in data modeling, design tools, and data engineering practices
- Knowledge of data governance and regulatory compliance in legal contexts
- Familiarity with legal research platforms (Westlaw, LexisNexis), practice management systems, and legal-specific data requirements.
- Excellent communication and collaboration skills, with proven ability to translate complex technical concepts to non-technical legal professionals
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field. JD, MBA, or Master's in Library Science (MLS) strongly preferred.
- Marketing systems (CRM, marketing automation, business development platforms)
- Financial systems (billing, accounting, financial reporting)
- Professional development and learning management systems
- Legal practice management systems (matter management, document management, time tracking)
- HR and talent management systems
- Strong analytical and problem-solving abilities
Nice to have
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field.
- JD, MBA, or Master's in Library Science (MLS) strongly preferred.
- Enterprise architecture certifications are a plus.
- Experience with legal document automation, e-discovery platforms (Relativity), and related tools preferred
- Demonstrated experience leading or supporting AI/ML or analytics projects from concept to completion preferred
- Experience managing pilot programs, technology assessments, and vendor relations in legal or professional services preferred
Compensation
- The firm offers a generous total compensation package with bonuses and raises awarded in recognition of individual merit-based performance.
Company info
- We are seeking a highly skilled and experienced Data Architect to join our dynamic legal organization.
This listing is sourced directly from Kslaw's careers page and normalized into a canonical job model.