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Senior Data Architect

Los Angeles, CA

$220-260k base + bonus

We’re partnering with a large investment organization that is continuing to build out its enterprise data capabilities and is looking for a Senior Data Architect to help shape the next generation of its data platform.

This is a senior individual contributor role focused on enterprise data architecture, Databricks, data modeling, governance, and security. You’ll work closely with business and technical teams to design scalable data structures and standards that support analytics, operations, reporting, and AI use cases.

What You’ll Be Doing

Design conceptual, logical, and physical data models across enterprise data platforms

Build dimensional models using Kimball, 3NF, Data Vault, and related approaches

Help define Databricks Lakehouse architecture, including medallion patterns and Delta Lake design

Establish Unity Catalog standards for governance, lineage, access control, and data organization

Partner with Data Engineering teams on pipelines, schema design, transformation logic, and performance

Build data architecture standards, naming conventions, metadata frameworks, and data quality controls

Work closely with business teams across Finance, Accounting, Investor Relations, and Investments to translate requirements into technical solutions

Support security and privacy controls across sensitive enterprise data

Help define how Databricks, Snowflake, MongoDB, and other platforms should be used across different workloads

Support downstream ML, GenAI, and RAG use cases through well designed data foundations

What We’re Looking For

Strong enterprise Data Architecture or Data Modeling experience

Deep hands on experience with Databricks and Delta Lake

Strong knowledge of dimensional modeling, Kimball, star schema, 3NF, and Data Vault

Experience designing medallion architecture in Databricks

Strong Unity Catalog experience across governance, lineage, and access controls

Strong SQL skills and familiarity with enterprise data modeling tools

Experience with Azure data platforms

Strong understanding of data governance, security, privacy, metadata, and data quality

Ability to work directly with senior business stakeholders and translate complex requirements into scalable architecture

Comfortable operating independently in environments where standards and frameworks are still being built

Nice to Have

Experience within financial services, private equity, asset management, or alternative investments

Knowledge of investment data including funds, investors, NAV, capital calls, and distributions

Experience building architecture standards from scratch

Exposure to Snowflake, MongoDB, Kafka, CDC, and Azure Event Hubs

Experience supporting AI, ML, or GenAI workloads

Databricks, Azure, or TOGAF certifications

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