Data Architect

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.