Senior Data Architect

Summary

Join Data Ideology as a Sr. Data Architect and play a pivotal role in integrating diverse data sources into production-ready data models for our financial services clients. You will lead data architecture efforts in commercial banking, focusing on payment systems. This position requires strong collaboration with business and technical teams to align with business strategies and ensure requirements are met throughout the data and analytics lifecycle. You will design and implement scalable data solutions, develop data governance frameworks, and serve as a thought leader in data transformation initiatives. This is a remote position offering flexible time off and a comprehensive benefits package.

Requirements

• Bachelor's Degree in a related field with 7+ years of relevant experience with at least 3 years in financial services (banking experience is a must)
• Proven experience in commercial banking (especially in payment systems)
• Experience leading projects & teams as a technical lead or similar role
• Strong understanding of data governance principles, regulatory compliance, and industry standards such as GDPR, CCPA, and BCBS 239
• Expertise in designing and implementing complex data architectures
• Strong SQL and/or GCP BigQuery skills
• Deep understanding of data movement, ETL/ELT, and data integration best practices
• Experience designing data governance frameworks, including data lineage, metadata management, data security, and access control
• Exceptional communication and stakeholder engagement skills
• Strong presence and ability to drive collaboration and alignment across teams
• Thought leadership in data transformation and governance

Responsibilities

• Lead data architecture efforts in commercial banking, focusing on payment systems and processes
• Design and implement scalable data solutions that ensure accuracy, security, and efficiency across complex systems
• Develop and implement data governance frameworks that ensure data is properly managed, secured, and compliant with organizational policies, industry regulations, and security standards
• Partner with business stakeholders to understand requirements, communicate solutions, and drive alignment on data strategies
• Collaborate with cross-functional teams in an Agile environment (daily stand-ups, stakeholder interactions)
• Serve as a thought leader, guiding the organization in data transformation initiatives
• Provide technical leadership in data integration, modeling, and architecture (SQL, GCP BigQuery expertise)
• Evaluate current data systems and recommend improvements for performance, data quality, and governance

Benefits

• Flexible Time Off Policy
• Insurance (medical, dental, vision) for employees
• 100% company paid - short and long-term disability insurance for employees
• 100% company paid - life insurance and AD&D insurance for employees
• 100% company paid – employee assistance program
• Retirement plans with company match
• Training and Certification Reimbursement annually
• Performance-based incentive program
• Commission incentive program
• Profit Sharing Plan
• Referral Bonuses