About Bluevine

Bluevine is on a mission to enable a better financial future for small business owners through innovative banking solutions designed just for them. By combining best-in-class technology with advanced security and a deep understanding of the small business community, we deliver end-to-end banking and lending products that empower always-on entrepreneurs to grow their businesses with confidence.

As a dynamic company with massive potential, we’re backed by leading investors such as Lightspeed Venture Partners, Menlo Ventures, 83North, Citi Ventures, and nearly 9 years of proven success. Since launching in 2013, we have grown exponentially, amassing over 400,000 customers across all 50 states and a global team of more than 500 people. Our passion is driven by purpose: to give small businesses the tools they need to succeed and we’re just getting started.

All of this begins with our team who are driven by collaboration, problem-solving, and learning and growing together. With a commitment to innovation and community impact, our mission is to help every small business—and every team member—thrive. Join us!

We're seeking a highly motivated Senior Data Architecture Engineer to ensure the availability, reliability, and performance of our diverse database infrastructure, primarily on AWS. Responsibilities include collaborating with teams, shaping data architecture using Python and PostgreSQL, Neptune, Redshift, and Redis databases. In addition, contributing to CI/CD pipelines, and establishing SLAs for system observability.

What You'll Do:

• Contribute to developing and executing a data architecture strategy aligned with business objectives, focusing on scalability, security, and compliance in AWS environments
• Work closely with cross-functional teams to design and implement complex data architectures on AWS, leveraging relevant services
• Ensure databases on AWS meet or exceed SLAs, actively monitoring and managing performance to minimize downtime and optimize queries
• Oversee ETL processes and data streaming pipelines in AWS, ensuring timely and accurate data transfer
• Implement and manage observability practices using tools like Prometheus, Grafana, OpenSearch, New Relic, to monitor, troubleshoot, and optimize data architecture performance
• Plan, coordinate, and execute data and configuration migration initiatives on AWS, ensuring seamless transitions with data integrity and security
• Support in establishing and enforcing data governance policies, including ownership, access controls, and data lifecycle management practices, especially within AWS
  
  

What We Look For:

• Minimum 8 years of hands-on experience in Database Management
• Strong expertise in various database types, including relational, columnar, and graph databases, with a focus on AWS solutions
• Proficiency in Change Data Capture (CDC) methodologies and implementation
• Experience with data lake architecture and management
• Familiarity with big data technologies and frameworks
• In-depth understanding of ETL processes and data streaming technologies
• Exceptional written and verbal communication skills
• Proactive approach with a strong self-service mentality
• Ability to collaborate effectively with cross-functional teams
• Experience working with Python, Juniper Notebook, CI/CD Pipelines, AWS Lambda, and similar tools.
  
  

Benefits & Perks

• Excellent group health coverage and life insurance benefits
• Stock options
• Flexible hybrid work model
• Large Study Fund contribution
• Salary Benchmarks and Checkpoints
• Monthly meal card of TenBis or CiBus (your choice) with generous balance
• Free parking for cars, scooters, and bikes
• Free gym membership
• Company-sponsored Mental Health Benefits
• PTO, Company Holidays, and Flexible Holidays
• Community-based volunteering opportunities