Job description

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

Requirements

Must-haves

Senior Data Architect
Los Angeles, CA
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.
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
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

Nice-to-haves

$220-260k base + bonus
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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