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Added 8 mins ago
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Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
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RC
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BrainRidge Consulting

Data Architect

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 8 to 12 years of experience in data architecture, data engineering, or BI solution design within large-scale or enterprise environments.
Posting language: English
Posted: Nov 4, 2026

Original job description

About BrainRidge:

BrainRidge Consulting is a premium FinTech Technology Consulting firm with the energy of a startup and experience of an enterprise. With a mission to empower financial institutions and organizations to thrive in the digital age, we provide cutting-edge technology solutions and strategic guidance to drive innovation and growth. As we continue to grow, we are seeking a motivated and experienced Data Architect.

Role Overview:

We are seeking a visionary and experienced Data Architect to define the data strategy and lead the design and governance of our clients' modern data ecosystems. You will shape the target state data operating model, establish a Data Centre of Excellence (COE), and define data architecture across cloud and on-prem environments, with a focus on AWS and Snowflake. Working closely with business and technology leaders, you will align data strategy and architecture decisions with business goals while guiding data engineering teams to deliver scalable, secure, and compliant data solutions for financial services clients.

Key Responsibilities:

Define and own the overall enterprise data strategy and multi-year roadmap, aligning data architecture, governance, and analytics investments with business priorities and regulatory obligations.

Assess current state data capabilities and design the target state data operating model, including roles, ownership, decision rights, funding, and engagement models across business and technology teams.

Establish and lead a Data Centre of Excellence (COE), defining its charter, services, standards, reusable patterns, and community of practice to drive consistent adoption across the enterprise.

Define and own the data architecture across cloud and on-prem environments, ensuring scalability, performance, and security.

Design and implement enterprise-grade data models, schemas, and integration frameworks leveraging AWS and Snowflake.

Design and operationalize data governance frameworks, including data ownership and stewardship, data quality, metadata management, lineage, master and reference data, and access control policies.

Partner with cross-functional business and technology leaders to align data architecture decisions with core business goals and analytics initiatives.

Evaluate and select technologies for data ingestion, storage, management, and analytics, and establish architectural standards and best practices across the data lifecycle.

Drive optimization of Snowflake and AWS data environments for performance, cost efficiency, and reliability, and collaborate with data engineering teams to implement DataOps practices, including CI/CD, automation, and observability.

Lead enterprise data migration, integration, and modernization initiatives, ensuring quality, compliance, and continuity while providing architectural oversight and mentorship.

Qualifications:

8 to 12 years of experience in data architecture, data engineering, or BI solution design within large-scale or enterprise environments.

Proven experience defining enterprise data strategies and target state data operating models, including maturity assessments, roadmaps, and business cases.

Demonstrated success standing up or scaling a Data COE or data governance office, including its charter, operating cadence, and adoption metrics.

Deep expertise in Snowflake (architecture, performance tuning, data sharing, and governance) and the AWS data ecosystem (S3, Glue, Lambda, Redshift, IAM).

Strong background in designing data models, data lakes, and analytical warehouses for large-scale analytics workloads.

Strong knowledge of data governance frameworks such as DAMA-DMBOK or DCAM, and of financial services data and regulatory requirements such as BCBS 239, OSFI guidelines, and privacy legislation.

Proficiency in SQL and familiarity with programming languages such as Python or Java for architectural prototyping and automation.

Experience with DataOps and modern data stack components (e.g., dbt, Airflow) and data catalogue and governance tools (e.g., Collibra, Alation, or Informatica).

Excellent stakeholder management and communication skills, with the ability to translate business needs into technical architecture and present to executive audiences.

Strong analytical mindset with excellent problem-solving, organizational, and leadership skills.

Our Commitment

At BrainRidge Consulting, we value and prioritize diversity, equity, and inclusion. We believe that a diverse and inclusive workplace leads to a more innovative and productive team. We welcome applicants of all backgrounds and are committed to providing a safe, fair, and welcoming environment where everyone feels valued and respected. If you require accommodations during the hiring process, please let us know.

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More about this job

Responsibilities

Define the enterprise data strategy, target operating model, Data Centre of Excellence, and architecture across cloud and on-premises environments, with a focus on AWS and Snowflake. Establish governance and architectural standards, optimize data platforms, and oversee modernization, migration, integration, and DataOps initiatives while guiding engineering teams and aligning with business and regulatory needs.

Requirements

Requires 8–12 years of experience in data architecture, data engineering, or BI solution design, including enterprise data strategy, operating models, and Data COE or governance initiatives. Candidates should have deep Snowflake and AWS expertise, strong data modeling and governance knowledge, familiarity with financial services regulations and modern DataOps tools, and excellent communication and leadership skills.

Skills

Enterprise Data Strategy
Data Architecture
Snowflake
AWS
Data Governance
Data Modeling
Data Centre Of Excellence
Data Lakes
Analytical Warehouses
SQL
Python
Java
DataOps
CI/CD
Stakeholder Management
Financial Services Regulatory Compliance

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Strategy
Data Architecture
Data Operating Model
Data Centre Of Excellence
Data Governance
Snowflake
AWS
Amazon S3
AWS Glue
AWS Lambda
Amazon Redshift
AWS IAM
Data Modeling
Data Lakes
Analytical Warehouses
SQL
Python
Java
DataOps
CI/CD
dbt
Airflow
Collibra
Alation
Informatica
DAMA-DMBOK
DCAM
BCBS 239
OSFI Guidelines
Financial Services

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