Senior Data Architect, Legal Operations

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$277,600 / yr
Posted
161 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $231k
$119k most similar roles pay here $295k

This role pays more than 84% of similar roles. Most pay $146,100–$214,800 — the shaded band above. At the midpoint, this role pays about $231k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Data Architect, Legal Operations

Senior Data Architect, Legal Operations joins the Applied Data Science team within Legal Operations to lead the Data Management Office and oversee the data architecture vision. This role involves designing and implementing a semantic layer, unified data model, and governance frameworks to ensure data is trusted and ready for AI and analytics. Key responsibilities include establishing legal ontologies, performing entity resolution for master records, and architecting data lakes that connect matter management, contracts, and eBilling systems. The successful candidate will utilize SQL, Python, Snowflake, dbt, Fivetran, and potentially Neo4j or vector databases to build a foundation for production-level AI accuracy. The role requires expertise in dimensional modeling, ETL/ELT patterns, and data quality monitoring to solve complex integration challenges within the legal domain while mentoring a team of engineers and analysts.

What you'll do

  • Define and own the enterprise data architecture, including unified models, semantic layers, and integration patterns.
  • Design and implement entity resolution to create master records for law firms, vendors, and other key entities.
  • Establish a common language, taxonomy, and legal ontology to standardize terminology across all systems.
  • Architect the data lake and integration layer connecting matter management, contracts, eBilling, and document management systems.
  • Build the data foundation required to enable AI systems to achieve production-level accuracy and trusted analytics.
  • Establish data quality standards, validation rules, and monitoring to ensure information completeness.
  • Design and implement data governance frameworks including ownership, access controls, lineage, and compliance.
  • Lead, mentor, and set technical direction for the Data Management Office team.

What we're looking for

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (Master's preferred).
  • 10+ years of experience in data architecture, data engineering, or related fields.
  • At least 4 years of experience in a senior architecture or leadership role.
  • Expertise in enterprise data architecture including data modeling, dimensional modeling, data lake design, and ETL/ELT patterns.
  • Proficiency in SQL and Python for data engineering, transformation, and automation.
  • Experience with cloud data platforms (Snowflake) and integration tools like dbt or Fivetran.
  • Experience designing entity resolution, master data management, or data quality solutions.
  • Proven experience leading and mentoring data teams.

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