Director, Enterprise Data Architecture

Role Overview

• Lead data architecture engagements with business and technology leaders to define enterprise and solution-level data architectures aligned to business outcomes.
• Design and govern enterprise data architecture patterns across core areas such as: Master Data Management (MDM) and Reference Data
• Enterprise and domain data warehouses
• Marketing and customer data platforms
• Analytical and reporting data domains
• Provide architectural leadership for data integration, data pipelines, and data availability across on‑prem, hybrid, and cloud platforms.
• Establish and enforce enterprise data architecture standards, principles, and guardrails , ensuring consistency across delivery teams.
• Define logical and physical data models , canonical data structures , and core enterprise entities.
• Partner with Marketing, Finance, HR, and Analytics teams to ensure data architectures effectively support reporting, insights, and decision-making.
• Evaluate and recommend data technologies and platforms, presenting proposals and options at Enterprise Architecture governance forums .
• Apply architectural best practices related to security, reliability, performance efficiency, operational excellence, and cost optimization across data platforms.
• Collaborate with regional and global architecture teams to ensure alignment with enterprise-wide data architecture direction and reuse of patterns.
• Work closely with solution and delivery teams, providing hands-on guidance to resolve complex data architecture challenges .
• Partner with Data & Analytics teams to support pilots, proofs of concept, and platform evolution in the analytics and data domain.
• Support data lifecycle management practices including data quality, lineage, retention, and archival considerations.
• Mentor and coach data architects and solution designers, helping uplift enterprise-wide data architecture capability.

Requirements

• Strong experience engaging with senior leaders (VP / SVP / C‑level) on enterprise data architecture topics
• 15+ years of experience designing and delivering enterprise data architectures, including end‑to‑end implementations
• Deep expertise in: Master Data Management (MDM) and Reference Data
• Data modeling (conceptual, logical, and physical)
• Enterprise data warehousing and analytical data architecture
• Marketing and customer data domains
• 5+ years of experience designing data architectures on cloud platforms (AWS preferred, or other complementary cloud platforms)
• Hands-on experience with modern data platforms and tools such as data warehouses, ETL/ELT, integration frameworks, and metadata/catalog tools
• Strong understanding of data governance principles and their practical application in enterprise environments
• Experience working across hybrid architectures (cloud and on‑prem)
• Ability to balance strategic direction with hands-on architectural problem-solving
• Excellent communication, collaboration, and mentorship skills.
• Technical experience Cloud data services (e.g., AWS or equivalent)
• Data warehousing platforms (e.g., Snowflake, Redshift, or similar)
• Data integration and orchestration tools
• Data governance and catalog platforms
• Analytics and visualization platforms (e.g., Tableau or equivalent)

Tech Stack

• Amazon Redshift
• AWS
• Cloud
• ETL
• Tableau

Benefits

• Flexible hybrid work model (#LI‑Hybrid)
• Competitive salary and performance-based bonus
• Pension, stock, and savings programs
• Inclusive, collaborative culture with strong focus on professional growth
• Opportunity to shape enterprise-scale data foundations that power Sun Life’s analytics and digital capabilities