Director, Data Architecture

We are at the forefront of transforming the future of technology in the financial industry, and we seek curious, practical individuals to help us pave the way. Our team is not intimidated by taking calculated risks, as they relish a good challenge and are eager to engage in problem-solving. As a member of our team, you will work alongside like-minded experts in a culture that is deeply rooted in innovation and progression. Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.
Ready to shape the future of data at scale? We're looking for a visionary Director, Data Architecture to lead our enterprise-wide data transformation. In this high-impact role, you’ll design and govern the full data architecture—ensuring our data is connected, trusted, and ready to drive business value.
This role will establish design patterns and standards that underpin scalable, governed, and insight-ready data across the organization. This role offers a Hybrid work schedule and must be located near our offices in either San Diego, CA or El Segundo CA or Dallas Texas.
Lead the definition, development, and governance of enterprise data architecture standards , patterns, and principles
Create and maintain a Common Vocabulary that standardizes key data concepts across domains
Identify and define Authoritative Data Sources for critical business entities and metrics
Design and document end-to-end Data Lineage from source systems through transformation to business reporting
Architect integrated and connected data flows across ingestion, processing, storage, and consumption layers
~ Design, evolve, and maintain the organization’s enterprise data models , including:
~3NF Integrated Models for Operational Data Stores (ODS)
~ Logical Data Models that reflect shared business understanding and support semantic layer development

Define and justify appropriate data repository architectures (e.g., ODS, data marts, data lakes, data warehouses) aligned with business needs
Ensure scalability, reusability, and adaptability of data models and platform designs
Collaborate closely with engineers, modelers, data governance, analytics, and business stakeholders to ensure adoption and alignment
Apply modern architecture methodologies such as:
Agile delivery practices
Data Mesh principles (e.g., federated domain ownership, self-serve data infrastructure)
Influence data platform and tool decisions (e.g., Azure, Snowflake, Databricks, Informatica)
Contribute to metadata management and data catalog strategy
Serve as a mentor and technical leader for other architects, engineers, and modelers
Support enterprise data governance and stewardship programs
Partner with data privacy and information security functions on architecture for data protection
Participate in architecture review boards, data councils, and strategic planning forums
Contribute to vendor assessments, platform migrations, and proof-of-concept evaluations
Bachelor’s degree in Finance, Computer Science, Information Systems, or a related field (or equivalent experience)
Minimum of 12 years of experience in enterprise data architecture or advanced data engineering
Proven track record of leading data architecture for complex, large-scale organizations
Expert-level knowledge of data modeling across 3NF, dimensional, and logical domains
Strong understanding of metadata, lineage, and authoritative source management
Experience in architecting cloud-based data ecosystems (e.g., Snowflake, Azure, Databricks)
Deep familiarity with data integration patterns , including ELT/ETL, data virtualization, APIs, and real-time streaming
Proficiency in applying modern architectural approaches (DDD, Data Mesh, Agile, etc.)
Experience with data governance frameworks and tools (e.g., Collibra, Alation, Informatica)
Experience in financial services , wealth management , or other regulated industries
Familiarity with data privacy and regulatory compliance (e.g., Background in enterprise information architecture or data product thinking
Experience in data platform selection , cloud migration , or enterprise data strategy
The salary range for this role is $219,000 - $320,000 plus competitive performance-based bonus. Compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific office location.