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. Join us to be part of a transformative journey that can shape the industry's future. 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. It requires hands-on technical leadership, cross-functional collaboration, and the ability to communicate architectural decisions to both technical and executive stakeholders. 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. What you will do: Own end-to-end accountability for data integrity—from initial creation through to final consumption—ensuring accuracy, consistency, and trustworthiness across all data assets and systems. 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) Dimensional Models  for reporting, dashboards, and analytics 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 Domain-Driven Design (DDD) 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 What you need to have: 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.) Ability to align architectural vision with business strategy and value drivers Excellent communication skills with both technical teams and business executives Proven ability to lead cross-functional design efforts in complex environments Experience with  data governance frameworks  and tools (e.g., Collibra, Alation, Informatica)

What will really catch our eye: Experience in  financial services ,  wealth management , or other regulated industries Familiarity with  data privacy  and  regulatory compliance  (e.g., GDPR, SEC, FINRA) Background in  enterprise information architecture  or  data product thinking Experience in  data platform selection ,  cloud migration , or  enterprise data strategy Compensation: 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. Compensation ranges may differ in differing locations due to cost of labor considerations. #LI-Hybrid