Opening for Senior Business Data Architect in Cupertino, CA/ Austin, TX (Hybrid 3 days On-Site and 2 days Remote)

Senior Business Data Architect

Location: Cupertino, CA/ Austin, TX (Hybrid 3 days On-Site and 2 days Remote)

Duration: 12 Months

Job Description

Key Responsibilities:

• Lead business data architecture efforts within Legal Operations in collaboration with cross-functional stakeholders.
• Define and maintain canonical data definitions and standards across legal, billing, vendor, litigation, patent, contract, and compliance domains.
• Partner with Legal Ops leadership to implement scalable data governance practices that align with enterprise data strategies.
• Conduct current-state assessments and design optimized, future-state data flows that support transformation goals.
• Identify and resolve data quality and integrity issues through root-cause analysis and hands-on remediation, leveraging AI tools where appropriate.
• Shape and execute a strategy for making business data AI-ready, including proper labeling, enrichment, and structuring for downstream analytics and ML use cases.
• Translate complex business needs into detailed technical and operational data requirements.
• Engage confidently with both business and technical stakeholders to drive alignment and adoption.

Key Qualifications:

• 10+ years of experience in business data analysis, data architecture, or related fields.
• Proven success in transformation initiatives or large-scale enterprise change programs.
• Deep understanding of enterprise data management, governance, and quality frameworks.
• Experience with Salesforce, Snowflake, and Tableau to support reporting, data modeling, and analytics needs.
• Strong SQL skills, with working knowledge of data profiling tools and techniques.
• Exposure to machine learning (ML) concepts and best practices for structuring data to support AI use cases.
• Experience using or guiding the use of AI/ML technologies for data remediation, categorization, or enrichment.
• Excellent facilitation and documentation skills; able to drive consensus and clarity across varied stakeholders.
• Highly detail-oriented, hands-on, and pragmatic—able to toggle between strategy and execution.
• Demonstrated ability to navigate complex, matrixed environments in large tech or enterprise settings.
• Familiarity with legal operations, billing systems, or professional services environments is a strong plus.
• Self-starter with a high sense of ownership, accountability, and follow-through.

Additional Requirements:

• Experience using AI/ML for data reconciliation, integrity, integrations, and data insights.
• Experience using TeamConnect or any Legal application is a plus.  
• Experience spearheading adoption of Data Management Office (DMO) principles is a plus.
• Understanding of data security and access control best practices.
• Experience in large scale and complex Data Migration projects.
• Understanding of Dimensional Modeling and Data Warehousing concepts. 
• Knowledge of data engineering concepts and ETL processes.
• Experience in project collaboration products such as Jira, Quip, Miro, Box
• Experience with a scripting language for data processing and development (e.g., Python, R)