Data Architect

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.

BrainRidge Consulting is seeking a visionary and experienced Data Architect to lead the design and governance of our clients' modern data ecosystems.

Responsibilities

• Define and own the overall data architecture strategy 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
• Partner with cross-functional business and technology leaders to align data architecture decisions with core business goals and analytics initiatives
• Evaluate and select appropriate technologies and tools for data ingestion, storage, management, and analytics
• Establish and enforce architectural standards, best practices, and governance frameworks across the data lifecycle
• Drive optimization of Snowflake and AWS data environments for performance, cost efficiency, and reliability
• Collaborate with data engineering teams to implement DataOps practices, including CI/CD, automation, and observability
• Provide architectural oversight and mentorship to data engineering teams, supporting solution design and technical reviews
• Lead enterprise data migration, integration, and modernization initiatives, ensuring quality, compliance, and continuity
• Champion data governance, metadata management, and access control policies to safeguard enterprise data assets

Qualifications

• 8-12 years of experience in data architecture, data engineering, or BI solution design within large-scale or enterprise environments
• 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
• Proficiency in SQL and familiarity with Python or Java for architectural prototyping and automation
• Experience implementing DataOps and modern data stack components (dbt, Airflow, or similar orchestration frameworks)
• Proven leadership in designing and implementing complex data strategies, migrations, or cloud modernization initiatives
• Excellent stakeholder management and communication skills; ability to translate business needs into technical architecture
• Strong analytical mindset and knowledge of data governance, security, and compliance frameworks