Director Data Architecture

Are you ready to make an impact at DTCC?   Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.  The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. Pay and Benefits: - Competitive compensation, including base pay and annual incentive - Comprehensive health and life insurance and well-being benefits, based on location - Pension / Retirement benefits - Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. - DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact you will have in this role: The successful candidate will play a strategic role in shaping DTCC's Data Strategy and guide the organization in implementing it. They will develop the foundational standards, architectures, guidance, and controls for enterprise data capabilities to implement and monitor their implementation across the enterprise. They will develop data and semantic models to ensure our data is fit for purpose in transactional, analytical systems and by AI models and Agents.    Qualifications: - Minimum of 10 years of related experience - Bachelor's degree preferred or equivalent experience Talents Needed for Success: Technical Skills - The candidate must be familiar with Enterprise data architecture frameworks - Applies TOGAF, Zachman, or DAMA-DMBOK to design enterprise-wide data architectures. Produces architecture views (conceptual, logical, physical, operational) aligned to business capability models. - Experience producing Reference architectures - Authors reusable reference architectures and blueprints for common patterns (e.g., regulatory reporting, real-time risk, MDM hub). Ensures consistency across solution teams. - Architecture documentation & ADRs - Produces clear, maintainable architecture documentation including Architecture Decision Records (ADRs), sequence diagrams, component diagrams, and system context diagrams. - Experience with data integration architecture - Designs scalable integration patterns including batch ETL/ELT, Change Data Capture (CDC), event streaming, and API-led connectivity. Understands idempotency requirements in financial reconciliation workflows. - Experience with data mesh & domain-driven design - Applies domain-driven design (DDD) and data mesh principles — bounded contexts, domain ownership, data-as-a-product — to decompose monolithic data platforms without sacrificing enterprise consistency. - Experience with cloud data warehouses - Hands-on experience with Snowflake, Databricks (Lakehouse), Google BigQuery, Azure Synapse, or AWS Redshift. Understands platform-specific optimization levers (clustering, partitioning, materialization). - Experience with data lakehouse architecture - Designs medallion (bronze/silver/gold) architectures. Understands Delta Lake, Apache Iceberg, and Apache Hudi for ACID transactions, schema evolution, and time-travel on object storage. - Familiar with the tools in the modern data stack  - Subject matter expertise with Financial data domains - Deep knowledge of core FS data domains: general ledger, trade & position, risk, payments, customer/KYC, and reference data (instruments, counterparties, currencies). - Familiar with data governance principles - Champions data ownership, stewardship, and policy enforcement. Familiar with DAMA-DMBOK, enterprise glossary management, and cross-domain data standards governance. - Experience with semantic layer & data product design - Designs reusable, business-aligned semantic layers (metrics layers, logical data products) that decouple business logic from physical storage. Ensures consistent KPI definitions across the enterprise. Leadership Skills: - Technical vision & architecture direction - Sets the long-term data modeling and architecture strategy aligned to business and regulatory roadmaps. Establishes guardrails and patterns that scale across the organization. - Executive & board-level communication - Translates complex data architecture and modeling concepts into clear business impact narratives for C-suite, risk committees, and regulators. No jargon, full accountability. - Cross-functional collaboration - Works effectively with business analysts, software engineers, risk, finance, compliance, and product teams to align on data definitions, integration contracts, and model fitness for purpose. - Technology vendor evaluation & negotiation - Evaluates vendor platforms against enterprise requirements using structured scoring. Leads proof-of-concept exercises and negotiates commercial terms for data platform and tooling contracts. - Mentoring & technical coaching - Develops junior and mid-level team members through pair work, structured feedback, and stretch assignments. Builds team capability and independence rather than individual dependency on key staff. - Familiar with agile / scrum delivery - Runs or participates effectively in agile ceremonies. Breaks down complex data modeling and architecture initiatives into sprint-sized deliverables with clear acceptance criteria and definition of done. - Architecture governance & technology standards - Maintains the enterprise architecture standards register, technology radar, and approved patterns catalog. Manages exceptions process and ensures standards keep pace with platform evolution. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. The successful candidate will play a strategic role in shaping DTCC's Data Strategy and guide the organization in implementing it. They will develop the foundational standards, architectures, guidance, and controls for enterprise data capabilities to implement and monitor their implementation across the enterprise. They will develop data and semantic models to ensure our data is fit for purpose in transactional, analytical systems and by AI models and Agents.