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About the Role

As Director, Data Architecture, you will own how our organization’s information becomes discoverable, trustworthy, and securely available to AI assistants, agents, and search tools. This is a senior technical leadership role with enterprise-wide architectural accountability, focusing on data enablement.

Responsibilities

Set the architecture and strategy for enterprise target-state data architecture for AI enablement.
Establish company-wide standards for connectors, data contracts, APIs, and integrations.
Own a 12-month delivery roadmap and a multi-year data and AI-readiness strategy.
Set the ingestion approach for structured and unstructured sources.
Define how content is parsed, cleaned, deduplicated, enriched with metadata, and kept fresh.
Create and oversee a semantic and metadata layer for coherent content connection and searching.
Be accountable for permission-aware AI retrieval that respects source-system access controls and user entitlements.
Lead data governance in partnership with Security, Privacy and Legal.
Define enterprise policies for sensitive content in AI contexts.
Shape the organization’s AI data-risk posture and partner with Security, Privacy, and Legal to meet regulatory requirements.
Define readiness criteria covering completeness, freshness, duplication, ownership, access rights, and content quality.
Establish how retrieval quality, coverage, and stale content are measured.
Prioritize cleanup of high-value, high-risk sources.
Act as the final check on delivery quality.
Build the team over time, hiring and developing data architects and engineers.
Translate AI use cases into enterprise clear data requirements and investment priorities.
Own vendor strategy, build-versus-buy analyses, and the related budget.
Report progress, trade-offs, and risks to senior and executive stakeholders.

Requirements

10+ years in data engineering, data architecture, or information management.
5+ years leading architecture functions or teams, with a track record of hiring, mentoring, and influencing across organizations.
A track record of delivering enterprise-scale cloud data platforms that integrate many source systems.
Experience leading enterprise programs that integrate unstructured content with structured data and search or retrieval architectures.
Experience designing or governing access control and entitlement models for enterprise data.
Proven delivery of data governance, cataloging, and data quality programs.
Experience managing budgets and vendor relationships.
Bachelor's degree in computer science, engineering, information systems, or a related field (master's a plus).
Technical expertise in cloud and data platforms (GCP; Snowflake, Databricks, BigQuery, or Redshift; lakehouse formats).
Technical expertise in integration (CDC tools, REST and GraphQL APIs, webhooks, OAuth).
Technical expertise with source systems (Google Workspace, Notion, Confluence, Jira, Slack, Salesforce, Netsuite).
Technical expertise with unstructured data (document parsing and OCR, chunking, metadata extraction, entity recognition, deduplication).
Technical expertise in search and retrieval (Vector databases, hybrid keyword and semantic search, reranking, embedding pipelines).
Technical expertise in security (IAM, ACL propagation, encryption, masking, tokenization, DLP, row and column-level security).
Technical expertise in engineering (SQL and Python; CI/CD; Pulumi).
Clear, executive-level communication and strong stakeholder management.
The ability to build consensus across IT, security, legal, and business teams.
Pragmatic prioritization between ideal architecture, risk, cost, and speed.
A genuine commitment to developing people and leaders.
The ability to unblock teams before tactical issues become strategic risks.

Skills

Data Architecture
Data Engineering
Information Management
Cloud Data Platforms
GCP
Snowflake
Databricks
BigQuery
Redshift
Delta Lake
Iceberg
CDC tools
REST APIs
GraphQL APIs
Webhooks
OAuth
Google Workspace
Notion
Confluence
Jira
Slack
Salesforce
Netsuite
Document Parsing
OCR
Chunking
Metadata Extraction
Entity Recognition
Deduplication
Vector Databases
Hybrid Search
Semantic Search
Reranking
Embedding Pipelines
IAM
ACL Propagation
Encryption
Masking
Tokenization
DLP
Row-level security
Column-level security
SQL
Python
CI/CD
Pulumi
Executive Communication
Stakeholder Management
Consensus Building
Prioritization
Team Development
Problem Solving
Enterprise Search
Knowledge Management
Content Management
Generative AI Patterns (RAG, agents, MCP)
Records Management
eDiscovery
Legal Hold
AWS Architect
Azure Architect
GCP Architect
FinOps

Location

New York City
London
Zurich
Budapest
Hong Kong
Sydney

Work Type

Hybrid

Experience Level

10+ years in data engineering, data architecture, or information management
5+ years leading architecture functions or teams

Education Level

Bachelor's degree in computer science, engineering, information systems, or a related field
Master's degree a plus

Salary/Compensations

$225—$260 USD

Benefits

Comprehensive benefits package
Health and insurance benefits vary by region
Medical, dental, and vision coverage

About the Company

Digital Asset builds technologies reshaping financial markets.
Our mission is to create the world’s most trusted, privacy-enabled, and interoperable digital infrastructure for global finance.
The Canton Network is a blockchain purpose-built for institutional finance, combining privacy, compliance, and scalability.
Founded in 2014 and headquartered in New York City, with offices globally.
We are on a mission to transform finance.

Equal Opportunity

Digital Asset is an equal opportunity employer committed.
All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, religion, sexual orientation, age, disability, citizenship status, veteran status, or any other basis protected by applicable law.
All persons hired to work at Digital Asset will be required to verify identity and eligibility to work in the location for which they have an offer to work and to complete the necessary employment eligibility verification documents upon hire.
Applicants with disabilities who require accommodation during the application or interview process should contact talent@digitalasset.com.
If you are based in California, we encourage you to read this important information for California residents linked here.