Associate Director Data Architecture

DTCC • Tampa, FL

2d • Hybrid

About The Position

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. Serves as a dedicated technology resource for advancing DTCC’s business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC’s mission to support the financial markets.

Requirements

• Minimum of 8 years of related experience
• Bachelor's degree preferred or equivalent experience
• Familiar with Enterprise data architecture frameworks - Applies TOGAF, Zachman, or DAMA-DMBOK to design enterprise-wide data architectures.
• Experience producing Reference architectures - Authors reusable reference architectures and blueprints for common patterns (e.g., regulatory reporting, real-time risk, MDM hub).
• 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.
• 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.
• Experience with data lakehouse architecture - Designs medallion (bronze/silver/gold) architectures.
• 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.
• 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.
• Technical vision & architecture direction - Sets the long-term data modeling and architecture strategy aligned to business and regulatory roadmaps.
• Executive & board-level communication - Translates complex data architecture and modeling concepts into clear business impact narratives for C-suite, risk committees, and regulators.
• 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.
• Mentoring & technical coaching - Develops junior and mid-level team members through pair work, structured feedback, and stretch assignments.
• Familiar with agile / scrum delivery - Runs or participates effectively in agile ceremonies.
• Architecture governance & technology standards - Maintains the enterprise architecture standards register, technology radar, and approved patterns catalog.

Nice To Haves

• Understands idempotency requirements in financial reconciliation workflows.
• Familiar with DAMA-DMBOK, enterprise glossary management, and cross-domain data standards governance.
• Understands platform-specific optimization levers (clustering, partitioning, materialization).
• No jargon, full accountability.
• Ensures standards keep pace with platform evolution.

Responsibilities

• Applies TOGAF, Zachman, or DAMA-DMBOK to design enterprise-wide data architectures.
• Produces architecture views (conceptual, logical, physical, operational) aligned to business capability models.
• Authors reusable reference architectures and blueprints for common patterns (e.g., regulatory reporting, real-time risk, MDM hub).
• Ensures consistency across solution teams.
• Produces clear, maintainable architecture documentation including Architecture Decision Records (ADRs), sequence diagrams, component diagrams, and system context diagrams.
• 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.
• 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.
• 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.
• 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.
• Sets the long-term data modeling and architecture strategy aligned to business and regulatory roadmaps.
• Establishes guardrails and patterns that scale across the organization.
• Translates complex data architecture and modeling concepts into clear business impact narratives for C-suite, risk committees, and regulators.
• 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.
• Evaluates vendor platforms against enterprise requirements using structured scoring.
• Leads proof-of-concept exercises and negotiates commercial terms for data platform and tooling contracts.
• 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.
• 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.
• Maintains the enterprise architecture standards register, technology radar, and approved patterns catalog.
• Manages exceptions process and ensures standards keep pace with platform evolution.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Associate degree