Data/Information Architect

Billennium; Mississauga; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

RRSP

Healthcare/Dental

Paid Vacation Days

Professional development

Udemy for Business

Worksmile platform

Remote/hybrid work options

Job summary

Billennium in Mississauga, Canada seeks an experienced Data Architecture Lead who can bridge enterprise architecture with cloud data engineering and business transformation. This role is client-facing and requires strong leadership and cross-functional coordination.

You will design enterprise data architectures, lead Snowflake deployments, and govern data quality while influencing senior stakeholders across the organization.

Qualifications

• Strong experience in Enterprise Data Architecture / Information Architecture.
• Experience with logical and physical data modelling.
• Expertise in data integration architecture and data provisioning.
• Hands-on architectural experience with Snowflake.
• Understanding of SAP data structures and API integrations.
• Experience with data governance and master data management.

Responsibilities

• Design enterprise-wide data architecture strategies and scalable information models.
• Develop logical and physical data models aligned with business needs.
• Architect reusable data products and scalable data consumption layers.
• Lead cloud data platform architecture initiatives focusing on Snowflake.
• Define data governance, quality frameworks and data pipelines.

Skills

Data Architecture

Information Architecture

Data modelling

Data integration architecture

Cloud data platforms

Snowflake

Data governance

Master Data Management

Stakeholder leadership

Cross-functional collaboration

Tools

Snowflake

Ataccama

Informatica DQ

Collibra

Talend DQ

Informatica MDM

SAP S/4HANA

Job description

Overview
We are seeking an experienced Data Architecture Lead who can operate at the intersection of enterprise architecture, cloud data engineering, and business transformation. This is not a pure Enterprise Architect role and not a hands-on Data Engineer role. The ideal candidate will bridge technical architecture with business needs, driving scalable enterprise data solutions while influencing senior stakeholders across the organization.
This role is highly client-facing and requires strong leadership, communication, and cross-functional coordination capabilities.

Requirements

Key Responsibilities
Enterprise Data & Information Architecture
Design and define enterprise-wide data architecture strategies and scalable information models.
Develop logical and physical data models aligned with business and technical requirements.
Architect reusable data products, scalable data consumption layers, schemas, views, and enterprise datasets.
Define best practices for data provisioning, integration, and enterprise data management.
Ensure architecture standards support scalability, performance, governance, and long-term maintainability.
Cloud Data Platform Architecture
Lead architecture and solution design initiatives on cloud data platforms, with strong focus on Snowflake.
Design and optimize:
o enterprise datasets
o data transformations
o views
o performance tuning strategies
o scalable consumption models
Collaborate with engineering teams to ensure architectural alignment and implementation feasibility.
Data Quality & Governance
Define and support enterprise data quality and governance frameworks.
Drive initiatives related to:
o data governance
o master data management
o rule engines
o issue remediation workflows
o data quality monitoring
Work closely with governance and business teams to improve data reliability and consistency.
Experience with Ataccama is highly preferred.
Alternative experience with Informatica DQ, Collibra, Talend DQ, or Informatica MDM is also acceptable.
Enterprise Integration & Connectivity
Design enterprise integration strategies across business-critical systems.
Work with SAP data structures, APIs, and enterprise data pipelines.
Understand and model cross-system relationships and master data flows.
Support integrations across S/4HANA, supply chain platforms, and enterprise operational systems.
Stakeholder Leadership & Business Translation
Lead architecture discussions with business and technology stakeholders.
Translate complex technical concepts into business-friendly recommendations.
Influence senior leadership and challenge design decisions where appropriate.
Coordinate across architecture, engineering, business, and delivery teams.
Drive alignment between enterprise strategy and technical execution.

Responsibilities

Required Skills & Experience
Mandatory Skills
Strong experience in Enterprise Data Architecture / Information Architecture.
Expertise in:
o logical and physical data modelling
o data integration architecture
o data provisioning
o reusable data products
o scalable data consumption layers
Strong hands‑on architectural experience with Snowflake.
Deep understanding of:
o data modelling
o transformations
o enterprise datasets
o views
o platform performance optimization
Strong understanding of:
o SAP data structures
o API integrations
o enterprise data pipelines
o cross‑system integrations
Preferred Skills
Experience with data governance and data quality platforms such as:
o Ataccama
o Informatica DQ
o Collibra
o Talend DQ
o Informatica MDM
Exposure to:
o SAP S/4HANA
o supply chain systems
o master data environments
o enterprise data programs
________________________________________
Domain Experience (Preferred)
Experience in one or more of the following domains is highly preferred:
Pharma
Supply Chain
Manufacturing
Master Data Management
Enterprise Data Transformation Programs
________________________________________
Seniority Requirements
10–15+ years of overall IT/Data experience
5+ years in architecture‑focused roles
3+ years working with cloud data platforms
________________________________________
Ideal Candidate Profile
The ideal candidate is a strategic and consultative data architecture leader who can:
balance architecture vision with delivery practicality
work effectively across technical and business teams
lead enterprise data transformation initiatives
influence stakeholders at multiple organizational levels
drive scalable and governed enterprise data ecosystems

RRSP

Healthcare/Dental

Paid Vacation Days

Professional development – continuous learning opportunities and internal mobility.

Comprehensive benefits – enjoy Udemy for Business and Worksmile platform.

Flexibility – adaptable working hours and remote/hybrid work options.

Innovative environment – be part of a forward‑thinking, growth‑oriented workplace.

Team‑building traditions – including our annual company event.

Career growth – access professional development through partnerships with Microsoft, AWS, Snowflake, Salesforce , and more.

• Project diversity – opportunity to work with global clients across sectors and technologies.
• Engaging community – participate in team‑building events, hackathons, and CSR initiatives.