Director, Data Architecture, Deloitte Global Technology

Deloitte

$140K — $260K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in enterprise data architecture or related roles
  • Proven experience in designing large-scale data architectures
  • Experience with global federated organizations
  • Strong knowledge of SAP, Salesforce, Informatica, Azure, and Databricks
  • Familiarity with Data Product and Data Mesh methodologies
  • Proficient in Data Visualization tools like Tableau and MS Fabric
  • Experience in data security and privacy architectures

Responsibilities

  • Develop a global services data architecture vision
  • Establish data architecture standards and reference architectures
  • Provide leadership for complex data initiatives
  • Define standards for data transformation and analytics integration
  • Enable architectures for AI/ML model development and deployment
  • Align data architecture with governance and compliance frameworks
  • Act as a strategic advisor on data investments and enterprise transformation

Benefits

  • $4,000 annually for mental health support
  • $1,300 flexible benefit spending account
  • Firm-wide closures known as "Deloitte Days"
  • Dedicated learning days called Development and Innovation Days
  • Flexible work arrangements and hybrid work structure
Full Job Description
6/22/26

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Job Type: Permanent Work Model: Remote Reference code: 133740 Primary Location: Toronto, ON All Available Locations: Toronto, ON; Calgary, AB; Edmonton, AB; Halifax, NS; Kitchener, ON; Ottawa, ON; Vancouver, BC

What will your typical day look like?

1. Data Architecture Strategy & Vision
• Develop an Align a Global Services Data Architecture vision across Global Deloitte Technology services and Member Firm environments
• Establish data architecture principles, standards, and reference architectures for data across Global Service applications and platforms
• Define a unified, cross-data platform data architecture to address fragmentation across systems and geographies
• Establish interoperable data models and integration patterns to reduce duplication and data silos
• Develop architecture roadmaps aligned to business priorities, analytics, and AI enablement goals
• Ensure alignment with enterprise architecture standards and broader technology strategy

2. Data Architecture Solutioning
• Provide architecture leadership for Global Services data initiatives and programs
• Provide architecture guidance for complex data transformation and analytics solutions
• Support architecture for data management services (MDM, metadata, data quality, lineage, cataloging)
• Ensure solution designs align with enterprise architecture principles and standard
• Establish reusable patterns for domain-aligned, interoperable data products
• Ensure Global Data Products are analytics- and AI-ready by design
• Guide lifecycle management of data products, including discoverability, quality, and governance

3. Data Transformation & Analytics Enablement
• Provide architectural leadership for enterprise data transformation and analytics capabilities
• Define standards and reusable patterns for data transformation, modeling, and analytics integration
• Enable analytics-ready data architectures supporting reporting, advanced analytics, and AI/ML use cases
• Partner with Global Services and Member Firms to co-develop standards, best practices, and new data transformation and analytics patterns
• Drive consistency in how data is structured, transformed, and consumed across platforms
• Partner with Security and Compliance teams to co-develop enterprise data security and privacy standards

4. AI & Advanced Analytics Enablement
• Define data architecture patterns supporting AI/ML model development, deployment, and lifecycle management
• Ensure enterprise data assets are AI-ready, including quality, accessibility, and governance
• Partner with AI/ML, analytics, and product teams to support use cases including generative AI, advanced analytics and intelligent automation
• Enable architectures that support AI-enabled and component-based data services
• Embed security-by-design and privacy-by-design principles into all data architectures

5. Data Governance & Operating Model Alignment
• Align data architecture with enterprise data governance, quality, and compliance frameworks
• Define and enforce standards for data modeling, naming, classification, and lifecycle management
• Ensure governance controls are embedded into platforms via automation and policy enforcement
• Align architecture with evolving data and AI regulatory requirements
• Act as a strategic advisor on data and AI investments and enterprise transformation

About the team

Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

Enough about us, let's talk about you

Experience
• 10+ years in enterprise data architecture, data engineering, or related roles
• Proven experience designing enterprise-scale data architectures across multiple platforms
• Experience working in global, federated, or multi-entity organizations
• Strong experience with SAP, Salesforce, Informatica, Azure, and Databricks
• Experience implementing Data Product and Data Mesh methodologies
• Experience of Data Visualization technology - Tableau, MS Fabric.
• Experience designing data security and data privacy architectures
• Experienced with AI and Machine learning architectures, frameworks and standards
• Strong experience with data management practices (MDM, metadata, data quality, governance)
• Enterprise Architecture frameworks, eg TOGAF

Leadership & Business Skills
• Proven ability to influence stakeholders across global and member firm environments
• Strong communication skills to translate complex technical topics into business outcomes
• Experience engaging with senior stakeholders and cross-functional teams
• Strategic thinking and ability to align architecture with business and AI priorities

Platform Expertise
• Modern data platforms, transformation pipelines, governance, and integration patterns.
• Enterprise architecture frameworks and domain-driven design principles
• Data Product and Data Mesh architectures
• Data transformation patterns (ETL/ELT, streaming, event-driven)
• AI/ML data architecture and analytics enablement
• Modern data platforms (lakehouse, warehouse, streaming)
• Cloud platforms (Azure, Databricks; familiarity with others a plus)
• Data governance, security, compliance, and privacy controls
• Data integration, interoperability, and modular architecture patterns

Total Rewards

The salary range for this position is $140,000 - $260,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

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