Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.\\n\\nAre you passionate about building data foundations that power intelligent systems and strategic decision-making?\\nDo you thrive at the intersection of data architecture, governance, and enterprise transformation?\\nCan you translate complex data challenges into elegant, scalable solutions?\\n\\nThe Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. We're transforming how legal work gets done - and it starts with trusted, connected data. The Principal Data Architect leads the Data Management Office (DMO) and owns the data architecture vision that makes AI accurate and analytics reliable.
The Senior Data Architect owns the data architecture vision for Legal Operations and leads the Data Management Office. You will design and implement the semantic layer, unified data model, and data governance frameworks that make data trusted, connected, and ready for AI and analytics consumption. This role combines strategic architecture leadership with hands-on technical work and team leadership.
Bachelor's degree in Computer Science, Data Science, Information Systems, or related field (or equivalent experience); Master's degree preferred\n10+ years of experience in data architecture, data engineering, or related fields, with at least 4 years in a senior architecture or leadership role\nDeep expertise in enterprise data architecture including data modeling, dimensional modeling, data lake design, and ETL/ELT patterns\nStrong experience with cloud data platforms, particularly Snowflake\nProficiency in SQL and Python for data engineering, transformation, and automation\nExperience with data integration and transformation tools (dbt, Fivetran, or similar)\nExperience designing and implementing entity resolution, master data management, or data quality solutions\nProven experience leading and mentoring data teams\nExcellent communication skills - able to translate data architecture concepts for technical and non-technical audiences
Experience building data architectures for legal tech or legal operations environments\nFamiliarity with legal systems including matter management, CLM, eBilling, or document management systems\nExperience with semantic layer technologies (dbt Semantic Layer, Cube, AtScale), knowledge graphs (Neo4j), or ontology design\nUnderstanding of how data architecture enables AI/ML systems, including RAG, embeddings, vector databases, and context management\nExperience with data observability and quality tools (Monte Carlo, Great Expectations, or similar)\nKnowledge of data privacy, compliance, and governance frameworks relevant to legal data
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: a6ca2e30967dd76432bab8f97bfdf0f6
- Posted 3 hours ago
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