Data Architect - Banking Domain & Capital Market

Job summary

Design and oversee scalable enterprise data architectures and strategies for banking operations, including data lakes, warehouses, cloud platforms, and models for core banking, risk, fraud, AML, and regulatory reporting. Establish governance, quality, and lineage practices, modernize data integration between legacy banking systems and cloud environments, and collaborate with business and technical teams.

Job details

Job Title : Data Architect - Banking Domain & Capital Market Location - Toronto , ON (Hybrid) Type - Contract About the Role We are seeking a strategic and experienced Data Architect with deep expertise in the Banking and Financial Services domain. In this role, you will design, build, and oversee our enterprise data strategy, ensuring our data architecture is scalable, secure, and fully aligned with regulatory compliance (such as Basel III/IV, GDPR, and local central banking standards). You will bridge the gap between business stakeholders and technical teams to transform complex financial data into a secure, accessible, and high-performance asset. Key Responsibilities Enterprise Data Strategy: Design and implement scalable data architectures, data lakes, data warehouses, and modern cloud data platforms tailored for banking operations (retail, corporate, and investment banking). Domain Alignment: Lead data modeling for core banking functions, including customer 360, transactions, risk management, fraud detection, anti-money laundering (AML), and regulatory reporting. Data Governance & Compliance: Establish enterprise data governance frameworks, data quality standards, and lineage tracking to meet stringent banking and financial security regulations. Integration & Modernization: Architect real-time streaming and batch data pipelines connecting legacy core banking mainframes to modern cloud/hybrid environments. Collaboration: Partner with Data Engineers, BI Teams, Security Officers, and Business Stakeholders to deliver reliable and optimized data solutions. Required Qualifications & Skills Experience: 10+ years of IT experience, with at least 5+ years focusing specifically as a Data Architect within the Banking / Financial Services sector. Core Banking & Domain Knowledge: Deep understanding of core banking products, financial data models (e.g., FSLDM - Financial Services Logical Data Model), risk analytics, and compliance frameworks. Technical Expertise: Advanced proficiency in data modeling (Dimensional and Relational, Kimball/Inmon methodologies). Hands-on experience with Cloud Data Platforms (AWS, Azure, or GCP). Strong knowledge of Big Data technologies (Spark, Kafka, Hadoop) and modern data stack tools (Snowflake, Databricks, BigQuery). Familiarity with database technologies (Oracle, PostgreSQL, SQL Server, NoSQL). Governance Tools: Experience implementing data catalog, governance, and master data management (MDM) tools. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Finance, or a related field. Relevant industry certifications (e.g., TOGAF, AWS Certified Solutions Architect, Google Professional Data Engineer). Experience transitioning legacy monolithic banking systems to modern cloud architectures. We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.

What you’ll do

Design and oversee scalable enterprise data architectures and strategies for banking operations, including data lakes, warehouses, cloud platforms, and models for core banking, risk, fraud, AML, and regulatory reporting. Establish governance, quality, and lineage practices, modernize data integration between legacy banking systems and cloud environments, and collaborate with business and technical teams.

Requirements

Requires 10+ years of IT experience, including at least 5 years as a Data Architect in banking or financial services, with strong knowledge of core banking, financial data models, risk analytics, and compliance. Candidates should have advanced data modeling expertise and experience with cloud platforms, big data and modern data stack technologies, databases, and governance or MDM tools; a relevant degree and industry certifications are preferred.

Listed skills

• Regulatory Compliance · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Architecture
• Banking and Financial Services
• Data Modeling
• Cloud Data Platforms
• Data Lakes
• Data Warehousing
• Data Governance
• Data Quality
• Data Lineage
• Real-Time Data Streaming
• Batch Data Pipelines
• Core Banking Integration
• Risk Analytics
• Regulatory Compliance
• Big Data Technologies
• Master Data Management

Job areas

• Data & Analytics
• Technology
• Finance & Accounting
• Management & Leadership
• Consulting