Director Data Architecture

Pay and Benefits:

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:

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.
  

IT Architecture and Enterprise Services are responsible for enabling digital transformation of DTCC. The group manages complexity of the technology landscape within DTCC and enhances agility, robustness and security of the technology footprint. It does so by serving as the focal point for all technology architectural activities in the organization as well as engineering a portfolio of foundational technology assets to enable our digital transformation.