Company OverviewBridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.Position DescriptionBridgenext is seeking a Domain Data Architect with demonstrated experience in financial services, asset management, or capital markets data domains. The role requires deep expertise in designing canonical data models for complex, multi-source environments, and the consulting posture to drive stakeholder alignment across business and technology teams.The Domain Data Architect will lead the design of foundational data products for enterprise clients. You will own the architectural vision, engage stakeholders, and guide delivery teams through build and adoption. You will not write pipelines; you will set the designdirection and make the architectural decisions that determine whether the product succeeds.Key Responsibilities:Lead discovery across business and technology stakeholder groups to understand current data landscape, identify pain points, and reconcile competing views of key data domainsDesign canonical domain models, defining core entities, relationships, facts, dimensions,



and appropriate grain for the business domainHandle domain-specific variations across product types or asset classes through a flexible yet consistent attribute modelDesign for multiple external data feeds in varying formats, without assuming control over upstream data sourcesDefine how mastered reference data flows into consolidated data products, including survivorship and matching logic for identifier conflicts across multiple upstream sourcesHandle edge cases such as entities appearing in only one source, records without standard identifiers, and cross-domain or multi-currency scenariosDefine MVP scope — what is in, what is explicitly out, and why — balancing rapid time-to-value with long-term product visionTreat deliverables as data products with consumer contracts, SLAs, quality baselines, versioning, and breaking-change policiesIdentify top risks and design mitigations around data reconciliation, stakeholder alignment, and upstream data qualityEnsure designs are reusable and extensible for adjacent data products and downstream AI initiativesMust Have Skills:8+ years of experience in data architecture, with at least 3 years focused on investment management, capital markets, or asset/wealth management domainsDeep fluency in investment data concepts: positions, holdings, lots, corporate actions, IBOR vs. ABOR, TWR vs. MWR, tax lots, and multi-currency accountingProven experience designing canonical or domain models for complex, multi-source data environments with competing upstream formatsHands-on knowledge of contemporary data platforms — Databricks, Delta Lake, Unity Catalog,



or equivalent lakehouse architectures with Bronze/Silver/Gold conventionsExperience working with external data providers and sub-advisors whose feed formats you cannot controlStrong consulting posture: ability to lead stakeholder workshops, navigate ambiguity, build consensus across business and IT, and handle pushback constructivelyExcellent communication skills — able to translate schema decisions into business terms and business constraints into technical scopeProven ability to scope MVPs under tight timelines while preserving long-term reusability and extensibilityPreferred Skills:Experience with SCD Type 2 for security master data, semantic layers, and data mesh / data product thinkingFamiliarity with fund administration, custodial reconciliation, and sub-advisor reporting workflowsExposure to multi-strategy asset managers spanning public equity, fixed income, alternatives, and hedge fund positionsFamiliarity with Power BI, Excel-based business consumers, and designing data products for non-technical downstream usersWorking experience with investment/trading core systems such as Aladdin, SimCorp Dimension, Bloomberg AIM, Eagle, Charles River, or CalypsoGenAI experience is an asset, including use of AI to accelerate data profiling, model documentation, or impact analysisWorkplace: Hybrid role with 3 days per week in Toronto office is preferredBridgenext is an Equal Opportunity EmployerCanadian citizens and those authorized to work in Canada are encouraged to applyCompensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $160,000- $185,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary. #J-18808-Ljbffr

📌 Domain Data Architect (Toronto)
🏢 Bridgenext
📍 Toronto