Senior Business Data Architect - Cupertino CA(Hybrid Locals)

Warm wishes to you. I am Jenny from Lambdanets.

We currently have an opening with one of our clients, please let me know if you are available for this role.

Please share updated resume with Visa, Location and LinkedIn for quick response

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)

Thanks & Regards,

Jenny Anderson

Lambdanets

2929 Kenny Rd, Suite 220,Columbus Ohio,43221

Email: View email address on us.fitly.work

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