Data Architect

Why DUCA

Were a vibrant exciting credit union that lives its profits with a purpose philosophy in every financial transaction product interest rate and community initiative we offer. Founded in 1954 DUCA has grown from a single branch credit union in Toronto to 19 branches across Southern Ontario with over 85000 Members we are proud to serve.

We exist to help People Businesses and Communities Do More Be More and Achieve More.

DUCA () is distinguished for the following:

• Positive un-big bank like service experience delivered through Member-facing staff in branch on the phone (Member-Connect) and via our Mobile mortgage specialists Wealth Management advisors and Commercial and Business Banking Account Managers.
• Competitive rates.
• Personalized financial solutions guidance and service with the lowest possible fees for both Personal and Business Members.
• Profit sharing among Members.
• Multiple ways to bankonline mobile app phone/full-service Member Connect Contact Centre and of course in-branchDUCA is accessible 24/7
• A community philosophy of profits with a purpose culminating in the creation of the DUCA Impact Lab () a charitable foundation committed to helping the credit challenged and underbanked. This led to DUCAs designation as a B-Corp certified organization the first ever credit union to receive this global recognition.

A career with DUCA means youll find endless opportunities to make a difference with your unique abilities and perspectives. Our people live their purpose while helping others Do more Be more and Achieve more with their money and their lives. At DUCA youll be part of a vibrant and collaborative team where youll be supported to excel and make an impact no matter what role you play.

Data Architect

DUCA is looking for a Data Architectto join our growing team!

Job Purpose & Summary

The Data Architect is responsible for contributing to the design and execution of DUCAs organization-wide data architecture and analytics approach. This role leads the design development and optimization of DUCAs data warehouse (Lodestar) and associated data platforms ensuring data is reliable accessible and tactically leveraged across the organization to generate insight and enable self-service.

The role guides the business on how to maximize value from data analytics and AI-enabled tools through hands-on technical expertise. The Data Architect collaborates closely with Business Systems Analysts Technology teams and business leaders to deliver high-quality data models pipelines dashboards and insights that drive improved decision-making and operational excellence.

This role is accountable for data architecture ingestion frameworks data modelling quality governance analytics leadership and enabling the organization to leverage advanced analytics and AI to increase efficiency and impact.

Key Accountabilities & Duties

Data Governance & Architecture Design

• Build and maintain DUCAs data architecture including target-state design standards and execute on DUCAs modernization roadmap.
• Lead the evolution expansion and optimization of the Lodestar data warehouse and related platforms.
• Establish best practices for data modelling metadata lineage and semantic layers across all data domains.
• Collaborate with business and technology leaders to prioritize data ingestion and integration initiatives aligned to DUCAs strategic goals.
• Champion data governance including data quality standards ownership frameworks access controls and stewardship practices.
• Serve as DUCAs subject matter expert on data structure architecture and analytical tooling.
• Coordinate cross-functional collaboration between Business Systems Analysts Data Stewards and business partners to improve data literacy and maximize the value of data.

Data Engineering & Platform Development

• Design build and optimize data ingestion pipelines ensuring reliable timely and secure data delivery.
• Oversee data quality processes observability monitoring and controls to ensure trust in core data assets.
• Ensure all architecture and pipelines are documented and maintained in accordance with industry standards.
• Collaborate with system owners to ensure data is integrated seamlessly across platforms.

Analytics Reporting & AIEnabled Insights

• Lead the development of dashboards KPIs and analytical assets that provide actionable insights for business units and leadership.
• Drive adoption of selfserve analytics through well-structured semantic models and governed data sets.
• Identify and implement opportunities to incorporate Artificial Intelligence to automate analytics workflows increase efficiency and enhance decision-making capabilities.
• Act as a partner to business leaders by translating data into insight-supported recommendations.

Occupational Experience & Education Requirements

• Undergraduate degree in Computer Science Data Science Engineering Business Technology or related field.
• 7-10 years of progressive experience in data architecture data engineering or organization-wide analytics.
• Demonstrated experience designing and managing organization-wide data warehouses preferably in a financial services environment.
• Handson experience building and maintaining data pipelines data models BI solutions and analytics platforms.
• Experience with AI/ML technologies and integrating AI-assisted automation within analytics workflows.
• Experience with banking systems or credit union environments is an asset.
• Relevant certifications in data architecture cloud analytics or AI considered an asset.

Knowledge Skills & Attributes

Technical Skills

• Advanced SQL and strong proficiency in data modelling techniques (e.g. star schema normalized models semantic modeling).
• Technical proficiency in modern data stack technologies including ETL/ELT tools.
• Proficiency with analytics and visualization tools such as Power BI or Oracle Analytics.
• Working knowledge with data warehouse platforms such as Lodestar (or similar).
• Strong understanding of database architecture data pipelines APIs and integration patterns.
• Skilled in Python or R for advanced analytics and automation (preferred).
• Familiarity with AI/ML tools cloud platforms and modern data architecture paradigms (e.g. lakehouse event-driven data).
• Understanding of ITIL Framework considered an asset.

Attributes & Competencies

• Strong communication skills with the ability to translate complex data into clear business insight.
• Critical thinker with a hands-on mindset.
• Excellent problem-solving analytical and critical-thinking skills.
• Ability to build strong relationships across technical and non-technical teams.
• Curiosity continuous learning mindset and a passion for enabling data-driven cultures.

Working Conditions

Normal office environment with occasional after-hours work required to support production deployments or critical data initiatives.

Department: Information Technology

Primary Location: Corporate Office

Employment Status: Full-time

Hours per Week: 38

Salary:The annual salary range for this position is $87445 - $120741. Actual annual base salaries will vary depending on relevant job-related factors such as experience knowledge skills qualifications and education/training. This position may be eligible for discretionary bonuses.

Number of Existing Vacancies: 1

DUCA is committed to employment equity and encourages applications from all qualified candidates. Recruitment related accommodations will be provided upon request.

Our hiring process includes AI screening for keywords and minimum qualifications. Talent Acquisition Partners review all results.

Qualified applicants are encouraged to submit their application.Applications must include a resume.

We thank all applicants but only those considered for an interview will be contacted.