Data Architect, Enterprise Data Management

Toronto, ON
Hybrid
Posted Oct 7, 2026
1 position

$90–$100 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Lead · 10+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Lead enterprise data architecture and design decisions, develop scalable data models, and contribute to the enterprise data roadmap and cloud platform modernization. Establish architecture standards and partner with business, technology, and governance teams to support data quality, governance, reporting, analytics, and regulatory needs.

Job details

Data Architect, Enterprise Data Management Job Type: 6 month contract (strong potential for extension) Location: Toronto, ON (Hybrid, 3 days onsite) Hourly Rate: $90-100/hr INC Your New Company Our client is a leading Canadian financial services organization undergoing a significant enterprise data transformation. As part of its modernization journey, the organization is investing heavily in data architecture, governance, cloud-based platforms, and enterprise analytics to create a scalable, secure, and business-driven data ecosystem. This is an opportunity to play a key leadership role in shaping the future state of enterprise data management and architecture. Your New Role As the Data Architect, Enterprise Data Management, you will be responsible for modernizing the organization's enterprise data and data platform architecture. You will establish data architecture principles, standards, policies, and best practices while driving strategic architecture decisions that support enterprise reporting, analytics, governance, and regulatory requirements. You will collaborate with business stakeholders, technology teams, data governance, and delivery teams to ensure enterprise-wide adherence to data architecture standards and maintain the integrity, quality, and accessibility of critical business data. Key responsibilities include: Leading enterprise data architecture and design decisions supporting modern data platforms and data pipeline modernization initiatives. Contributing to and refining the enterprise data roadmap. Designing scalable data models that support reporting, analytics, business intelligence, and data science use cases. Facilitating requirements-gathering sessions with business stakeholders and translating business requirements into conceptual, logical, and physical data models. Creating ERDs, data flow diagrams, metadata documentation, and architecture artefacts. Partnering with data governance teams to implement data governance frameworks, data quality controls, and stewardship practices. Driving the evolution of cloud-based data platform architecture and identifying opportunities to leverage emerging technologies. Establishing architecture standards, patterns, and reusable best practices across enterprise data environments. Supporting data platform automation initiatives and non-functional architecture requirements. Providing leadership and guidance on enterprise data warehouse enhancements, support, and continuous improvement initiatives. What You'll Need to Succeed Post-secondary degree in Information Technology, Computer Science, Engineering, Business, or a related discipline. 10+ years of experience designing, architecting, and implementing large-scale enterprise data platforms, data warehouses, and analytical solutions. Strong experience developing scalable enterprise data models supporting diverse consumer groups including BI developers, analysts, and data scientists. Proven expertise integrating multiple data sources into centralized enterprise data platforms or enterprise data warehouses. Experience working with structured, semi-structured, and complex data formats including XML and JSON. Strong understanding of enterprise reporting and analytics requirements. Experience supporting BI solutions such as Power BI, Tableau, or similar platforms. Excellent communication, stakeholder management, documentation, and presentation skills. Strong analytical thinking, problem-solving, and organizational abilities. Preferred Qualifications: Experience with Microsoft Azure data technologies including Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure Synapse. Experience establishing enterprise data governance policies related to data quality, privacy, security, profiling, and metadata management. Strong SQL development skills, including stored procedures and secure coding practices. Experience building data quality and data cleansing frameworks. Experience supporting enterprise data migration and transformation initiatives. Azure Solutions Architect Expert certification. Experience with CMMI Data Maturity Model. Experience working within Agile and Waterfall delivery environments. Project, programme, or portfolio management experience. Familiarity with ITIL and IT service management best practices. Previous experience within banking, financial services, or regulated industries. Experience supporting AIRB-related initiatives. Experience working with Atlassian Jira and Confluence. What You'll Get in Return You will have the opportunity to influence enterprise-wide data strategy and architecture within a highly visible transformation programme. This role offers the chance to work alongside senior technology leaders, drive cloud and data modernization initiatives, and shape the future of enterprise data management. A competitive compensation package, strong benefits programme, and long-term career growth opportunities are available for the successful candidate. What You Need to Do Now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or contact us for a confidential discussion regarding this opportunity. This posting is for an existing vacancy with the organization. AI may be used to screen, assess or select applicants for the position.

What you’ll do

Requirements

Requires a post-secondary degree in a related discipline and 10 or more years of experience designing and implementing enterprise data platforms, warehouses, and analytical solutions. Candidates should have strong data modeling, integration, reporting, and stakeholder communication experience; Azure technologies, governance, SQL, and financial services experience are preferred.