Associate Director Data Architecture

Are you ready to make an impact at DTCC

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.

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.

Qualifications:

• Minimum of 8 years of related experience
• Bachelor’’s degree preferred or equivalent experience

Talents Needed for Success:

• 5+ years experience as a Data Architect
• Expertise with data modeling concepts including 3NF, Kimball, Data Vault
• Experience in the Financial Services industry
• Excellent Communication Skills including presenting to large audiences and C-Suite executive
• Ability to collaborate across technical and business teams
• 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 Big…