Director Data Architecture

Optimum

$181K — $298K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field such as Statistics, Data Science, or Engineering.
  • 12-15+ years in data architecture or engineering roles.
  • Proven experience leading data modernization and migration initiatives.
  • Expertise in Cloud data platforms, preferably GCP, and Lakehouse architecture.
  • Experience in delivering AI/ML or Generative AI solutions at scale.
  • Strong leadership and ability to manage stakeholder relationships.
  • Familiarity with Agentic AI or autonomous workflows is advantageous.

Responsibilities

  • Define and own the enterprise data architecture vision and multi-year roadmap.
  • Establish target-state architecture including cloud lakehouse and data mesh.
  • Align architecture with business strategies, analytics, and AI projects.
  • Drive adoption of standardized architecture patterns across the organization.
  • Lead the architecture for data ingestion, transformation, storage, and consumption.
  • Enable integration of internal systems with external data sources.
  • Define architecture for Generative AI frameworks and build AI-ready data platforms.

Benefits

  • Opportunities for career growth and professional development.
  • Access to cutting-edge technologies and tools.
  • Collaborative work environment with cross-functional teams.
  • Engagement in large-scale transformation initiatives.
  • Involvement in innovative AI projects that shape organizational direction.
Full Job Description
Job Summary

The Director Data Architecture will be responsible for shaping Optimum's data vision, by defining enterprise data architecture, driving modernization and migration strategy, and enabling AI/GenAI/Agentic AI capabilities across the organization. You will play a critical leadership role in transforming our data platforms into scalable, AI-powered, business-ready assets.

Responsibilities

  • Define and own the enterprise data architecture vision and multi-year roadmap
  • Establish target-state architecture (cloud lakehouse, data mesh, semantic layer)
  • Align architecture with business priorities, analytics, and AI initiatives
  • Drive adoption of standardized, reusable architecture patterns
  • Lead end-to-end architecture across: Data ingestion (batch, streaming, real-time), Data transformation (ETL/ELT pipelines), Data storage (lakehouse, warehouse) and Consumption (analytics, APIs, AI models)
  • Enable integration across internal systems and external data sources
  • Define architecture for Generative AI, LLMs, and Agentic AI frameworks and build AI-ready data platforms (feature stores, knowledge layers, vector stores)
  • Partner with business teams to identify and scale AI use cases from PoC to production
  • Define and execute enterprise migration strategy: Legacy 12 cloud (GCP lakehouse, batch and streaming architecture)
  • Lead platform consolidation and tool rationalization initiatives
  • Define data contracts, standards, and reusable datasets
  • Support enterprise analytics, customer platforms, and AI-driven decisioning
  • Establish standards for: Data quality, metadata, lineage, and MDM along with Security, privacy, and regulatory compliance
  • Drive execution of large-scale transformation programs and collaborate with business, product, and technology stakeholders


Qualifications

  • Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Engineering) or related field of study.
  • 12-15+ years in data architecture, data engineering, or related roles
  • Proven experience leading enterprise data modernization and migration programs
  • Strong expertise in: Cloud data platforms (GCP preferred) and Lakehouse, streaming, and distributed architectures
  • Experience delivering AI/ML or Generative AI solutions at scale
  • Strong leadership and stakeholder management skills
  • Experience with Agentic AI / autonomous workflow systems is preferred
  • Background in telecom / large-scale customer data environments is preferred.

Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is CAD 181,427.00 - CAD 298,060.00 / year. The rate/range provided herein is the anticipated pay at the time of hire and does not reflect future job opportunity.

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