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:
Lead the definition, development, and governance of enterprise data architecture standards, patterns, and principlesCreate and maintain a Common Vocabulary that standardizes key data concepts across domainsIdentify and define Authoritative Data Sources for critical business entities and metricsDesign and document end-to-end Data Lineage from source systems through transformation to business reportingArchitect integrated and connected data flows across ingestion, processing, storage, and consumption layersDesign, evolve, and maintain the organization’s enterprise data models, including:
3NF Integrated Models for Operational Data Stores (ODS)Dimensional Models for reporting, dashboards, and analyticsLogical Data Models that reflect shared business understanding and support semantic layer developmentDefine and justify appropriate data repository architectures (e.g., ODS, data marts, data lakes, data warehouses) aligned with business needsEnsure scalability, reusability, and adaptability of data models and platform designsCollaborate closely with engineers, modelers, data governance, analytics, and business stakeholders to ensure adoption and alignmentApply modern architecture methodologies such as:
Agile delivery practicesDomain-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 strategyServe as a mentor and technical leader for other architects, engineers, and modelersSupport enterprise data governance and stewardship programsPartner with data privacy and information security functions on architecture for data protectionParticipate in architecture review boards, data councils, and strategic planning forumsContribute to vendor assessments, platform migrations, and proof-of-concept evaluationsWhat 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 engineeringProven track record of leading data architecture for complex, large-scale organizationsExpert-level knowledge of data modeling across 3NF, dimensional, and logical domainsStrong understanding of metadata, lineage, and authoritative source managementExperience 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 streamingProficiency in applying modern architectural approaches (DDD, Data Mesh, Agile, etc.)Ability to align architectural vision with business strategy and value driversExcellent communication skills with both technical teams and business executivesProven ability to lead cross-functional design efforts in complex environmentsExperience 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 industriesFamiliarity with data privacy and regulatory compliance (e.g., GDPR, SEC, FINRA)Background in enterprise information architecture or data product thinkingExperience in data platform selection, cloud migration, or enterprise data strategyCompensation:
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.
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