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Enterprise Data Architect

Summit Search Group

Toronto

On-site

CAD 120,000 - 160,000

Full time

22 days ago

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Job summary

A global consulting leader seeks a seasoned Enterprise Data Architect to drive data strategy and architecture design within the financial services sector. This senior-level role demands a blend of hands-on and strategic capabilities, working closely with C-level executives to deliver impactful data solutions and lead large-scale initiatives.

Qualifications

  • 12+ years in Data & Analytics architecture and solutioning.
  • Hands-on experience in large-scale data solutions.
  • Strong background in cloud architecture and data governance.

Responsibilities

  • Lead design and roadmap for enterprise-wide data architectures.
  • Engage senior client stakeholders to articulate architecture strategy.
  • Drive multi-year digital transformation and enterprise data strategies.

Skills

Data architecture
Data governance
Cloud-native solutions
Data modeling
Stakeholder engagement
Strategic thinking

Education

Bachelor's degree in Technology/Computer Science

Tools

Snowflake
Databricks
Talend
dbt

Job description

Enterprise Data Architect – Financial Services Sector

A global consulting leader is seeking a seasoned Enterprise Data Architect to join their team in a high-impact role focused on large-scale data strategy and architecture design across financial services and insurance clients. This is a senior-level opportunity for someone who thrives in complex enterprise environments, excels in client-facing engagements, and brings deep expertise in modern data platforms, architecture frameworks, and cloud technologies.

Overview:

This position will play a pivotal role in designing enterprise data and analytics solutions that drive business transformation. You’ll partner closely with business and technology stakeholders—internally and client-side—to shape data strategies, define architectures, and lead solution design for large-scale, multi-year initiatives. The ideal candidate is equally comfortable with hands-on architecture work and high-level strategic conversations with C-level executives.

What You’ll Be Doing:

  • Lead the design and roadmap for enterprise-wide data and analytics architectures.
  • Engage senior client stakeholders to articulate architecture strategy and value proposition.
  • Architect and implement large-scale data platforms using commercial and open-source technologies.
  • Lead data modeling and architecting efforts using techniques like dimensional modeling, data vault, and data warehousing best practices.
  • Deliver platform engineering strategies to support analytics and data product teams.
  • Leverage technologies such as Databricks, Snowflake, Talend, dbt, and virtualization tools to deliver scalable solutions.
  • Support pre-sales and business development by shaping strategic data transformation opportunities and contributing to proposals.
  • Collaborate on internal and client-facing architecture reviews to ensure best practices and alignment with business goals.
  • Drive multi-year digital transformation roadmaps and enterprise data strategies.
  • Work closely with client CXOs and Data & Analytics leaders to build data-driven enterprise capabilities.

What We’re Looking For:

  • 18+ years of overall experience, with 12+ years in Data & Analytics architecture and solutioning.
  • Proven track record of architecting large-scale data solutions in financial services or insurance sectors.
  • Deep understanding of enterprise data architecture patterns, data governance, and emerging trends.
  • Strong background in cloud-native data solutions, with 2–3+ years of recent cloud architecture experience.
  • Hands-on experience leading data modernization and platform transformation efforts.
  • Expertise in data modeling, data warehousing, and analytics tooling (e.g., Snowflake, Databricks, dbt).
  • Executive presence and ability to engage with senior stakeholders, including CIOs, CDOs, and business unit leaders.
  • Experience in pre-sales, consulting engagements, and shaping multi-million-dollar data opportunities is a strong asset.
  • Prior experience in a CDO/CDAO or equivalent leadership role is considered a plus.
  • Excellent communication, presentation, and stakeholder engagement skills.
  • Strategic thinker with a consultative mindset and strong business acumen.
  • Ability to manage ambiguity, drive consensus, and deliver enterprise impact.
  • Collaborative leadership style and ability to work in fast-paced, cross-functional teams.

Note: Only candidates selected for an interview will be contacted within two weeks. We encourage applicants to explore other opportunities that may align with their experience.

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