Chief Data Architect

Capgemini•Mississauga, ON

1d•CA$91,599 - CA$214,896•Remote

About The Position

The Chief Data Architect Director is responsible for defining and governing the enterprise‑wide data architecture strategy to support business growth, digital transformation, analytics, AI, and regulatory requirements. This role serves as the technical authority and strategic partner to executive leadership, ensuring data platforms, integration patterns, and governance frameworks enable scalable, trusted, and value‑driven data use across the organization. Is accountable to drive enablement and support pre-sales and business development efforts in partnership with Sales Executives and senior client stakeholders across industry segments.

Requirements

12+ years in data architecture, with significant experience at enterprise scale
Proven leadership in data platform strategy, modernization, or transformation
Experience influencing decisions at executive and board levels
Hands‑on understanding of analytics, cloud data platforms, and data governance
Enterprise data architecture (conceptual, logical, physical)
Cloud data platforms and modern integration patterns
Analytics, BI, AI/ML enablement architectures
Data governance, security, privacy, and compliance
SDLC and production‑grade data delivery
Strategic thinker with strong execution orientation
Able to influence without direct authority
Communicates complex concepts clearly to technical and non‑technical audiences
Pragmatic, outcome‑focused, and business‑driven

Responsibilities

Define and own the enterprise data architecture vision, principles, and target‑state roadmap aligned to business strategy.
Establish standards for data platforms, integration, storage, analytics, and AI enablement.
Ensure architectural decisions balance scalability, cost, security, and agility.
Partner with C‑suite, business leaders, and domain owners to translate strategic priorities into data architecture capabilities.
Advise leadership on data investment decisions, trade‑offs, and long‑term implications.
Act as a trusted authority on how data architecture enables revenue, efficiency, and risk reduction.
Guide design and evolution of cloud/on‑prem/hybrid data platforms.
Define patterns for ingestion, transformation, analytics, ML/AI, and data sharing.
Ensure platforms are production‑ready, resilient, and cost‑optimized.
Architect enterprise approaches to data governance, quality, lineage, metadata, privacy, and security.
Ensure compliance with regulatory and industry requirements.
Champion trusted, auditable data as a foundational enterprise asset.
Define the data architecture operating model, including decision rights, standards, and engagement with delivery teams.
Provide architectural guidance and guardrails without slowing delivery.
Mentor senior architects and elevate data architecture maturity across teams.