Data Architect - Banking Domain & Capital Market

Enterprise Solutions Inc.; Toronto; On-site; CAD 120,000 - 180,000; Part time

Job summary

Enterprise Solutions Inc. seeks an experienced Data Architect to lead our enterprise data strategy for the Banking sector.

You will design scalable data architectures, data lakes, and cloud platforms aligned with Basel III/IV and GDPR, bridging business and technical teams to transform complex financial data into secure, high‑performance assets. You will oversee domain modeling for core banking functions, establish governance and data quality standards, and architect real-time as well as batch

Qualifications

• 10+ years of IT experience, including 5+ years as a Data Architect in Banking/Financial Services.
• Deep understanding of core banking data models, risk analytics, and regulatory frameworks ( Basel III/IV, GDPR ).
• Proficient in data modeling (Dimensional/Relational; Kimball/Inmon).
• Hands-on with cloud data platforms (AWS, Azure, or GCP) and Big Data tech (Spark, Kafka, Hadoop).
• Familiar with data governance, data catalog, and MDM tools; strong collaboration with data engineers and stakeholders.

Responsibilities

• Design enterprise data architectures, data lakes/warehouses, and cloud data platforms for banking operations.
• Lead domain modeling for customer 360, transactions, risk, AML, and regulatory reporting.
• Establish data governance, data quality standards, and lineage tracking for regulatory compliance.
• Architect real-time streaming and batch data pipelines integrating legacy systems with cloud/hybrid environments.
• Collaborate with BI, security, and business stakeholders to deliver reliable data solutions.

Skills

Data architecture

Data modeling

Cloud data platforms

Regulatory compliance

Stakeholder collaboration

Data governance

Big data technologies

ETL/ELT design

Education

Bachelor's or Master’s degree in Computer Science / Information Systems / Finance

Tools

Snowflake

Databricks

BigQuery

AWS

Azure

GCP

Kafka

Spark

Hadoop

Oracle

PostgreSQL

SQL Server

Job description

Job Title : Data Architect - Banking Domain & Capital Market

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.