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Added 5 mins ago
Senior Implementation Engineer
Adyen
Toronto, ON
$170,000 to $240,000 CAD / year
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Enterprise Architect
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Background as a Software Engineer, QA Lead, SDET, Technical Lead, or Solutions Architect.
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Background as a Software Engineer, QA Lead, SDET, Technical Lead, or Solutions Architect.
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Enterprise Solutions Inc.

Data Architect - Banking Domain & Capital Market

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 23, 2026
Experience: Experience: 10+ years of IT experience, with at least 5+ years focusing specifically as a Data Architect within the Banking / Financial Services sector.
Posting language: English
Posted: Sep 23, 2026

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Original job description

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.

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More about this job

Responsibilities

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.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Banking
Financial Services
Capital Markets
Enterprise Data Strategy
Data Lakes
Data Warehouses
Cloud Data Platforms
Customer 360
Risk Management
Fraud Detection
Anti-Money Laundering
Regulatory Reporting
Basel III/IV
GDPR
FSLDM
Dimensional Data Modeling
Relational Data Modeling
Kimball Methodology
Inmon Methodology
AWS
Azure
Google Cloud Platform
Spark
Kafka
Hadoop
Snowflake
Databricks
BigQuery
Oracle

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