Director Data Architecture

Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is no longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! 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 → 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. At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What’s Right, Drive One Optimum, and Make It Happen. These aren’t just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It’s all part of the bigger picture of “Be The Difference” where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stop. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company’s discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. 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.

The Director of Data Architecture will define the enterprise data vision, roadmap, and modernization strategy while enabling AI and GenAI capabilities. They will lead end-to-end architecture across data ingestion, storage, and consumption while driving large-scale cloud migration programs.

Candidates must possess a bachelor's degree in a quantitative field and 12-15+ years of experience in data architecture or engineering. Strong expertise in cloud data platforms, specifically GCP, and experience delivering AI/ML solutions at scale are required.

• Google CloudSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Architecture
• Cloud Data Platforms
• GCP
• Data Engineering
• Generative AI
• LLMs
• Agentic AI
• Data Migration
• Data Lakehouse
• Data Mesh
• ETL/ELT
• Stakeholder Management
• Metadata Management
• Data Governance
• Cloud Migration
• Distributed Architectures
• Resourcefulness
• Pipelines
• Generative Artificial Intelligence
• Workflow Management
• Enterprise Analytics
• Application Programming Interface (API)
• Artificial Intelligence
• Telecommunications
• Regulatory Compliance
• Customer Data Management
• Extract Transform Load (ETL)
• Data Quality
• Economics
• Fair Credit Reporting Act
• Warehousing
• Leadership
• Scalability
• Innovation
• Machine Learning
• Metadata
• Relationship Building
• Statistics
• ANSYS Meshing
• Data Storage
• Consolidation
• Data Science
• Data Ingestion
• Enthusiasm
• Real Time Data
• Business Priorities

• Data & Analytics
• Technology
• Management & Leadership
• Software
• Engineering
• Data Architect
• Data Manager
• Database Designers and Administrators
• Database Architects

Formation minimale

Baccalauréat

Expérience minimale

15+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine