Data Architect

Headquartered in Charlotte, NC, and founded in 2012 by visionary minds shaping the future of banking and payments in the US, Finzly makes bank transformation radically simple. Our core-independent platform is trusted by some of the market’s leading financial institutions to transform operations and launch new products and services at speed. We’ve been recognized with 20+ industry awards—including three years in a row as one of the Best and Brightest Places to Work—as well as accolades for Best Parallel Core Technology, Best Corporate Payments Solution, Best Payments-as-a-Service Provider, and Best Trading System. Quite simply, Finzly is known for being the best in everything we do, giving you the perfect opportunity to grow your career with impact. We are seeking a highly skilled Data Architect to design, implement, and manage scalable data systems and architectures. The ideal candidate will have expertise in data modeling, cloud technologies, and modern data platform design, enabling business-driven decision-making and analytics. Key Responsibilities: Experience designing, building, and modernizing large-scale, resilient, and high‑performance data platforms supporting both operational and analytical workloads Ability to develop conceptual and logical data models aligned for business outcomes Ability to define phase‑wise modernization and implementation strategies for large, multi‑year platform programs. Strong experience with data migration strategies and patterns, especially involving legacy systems and cloud-native platforms Strong SQL experience in data modeling, performance tuning and database recommendations Experience in AWS RDS, NO-SQL database Deep understanding of relational and non‑relational data stores, with the ability to clearly articulate architectural trade-offs Strong knowledge of data processing, data movement, and integration patterns across batch, streaming, and event‑driven architectures Expertise in evaluating, prototyping, and recommending technologies based on business, architectural, and operational needs Strong understanding of resiliency, security, privacy, and cloud deployment patterns Proven experience in data quality, large‑scale data analysis, pattern identification, and insight generation Experience designing data stores optimized for various consumption patterns, including operational, analytical, AI/ML, and API‑driven use cases. Required Skills & Qualifications: Strong experience in data architecture and platform design Proficiency in SQL, data modeling, and database optimization Experience with relational and NoSQL databases Hands‑on experience with cloud platforms (AWS/Azure/GCP) Strong understanding of: Data processing and integration patterns Batch and streaming architectures Data pipelines and ETL/ELT processes Experience with data migration and legacy system modernization Ability to analyze trade‑offs and make architectural decisions Strong understanding of security, privacy, and scalability principles Preferred / Nice to Have: Experience with big data technologies (Spark, Hadoop, etc.) Knowledge of data governance frameworks Familiarity with AI/ML data pipelines Exposure to event‑driven architectures (Kafka, Kinesis, etc.) Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field What We Offer: Full Benefits Package: medical, dental, and vision coverage with HSA options! Healthcare FSA and Dependent Care FSA Company‑paid Life Insurance Company‑paid Long‑Term Disability Paid Holidays and generous Paid Time Off Retirement Savings Plan Short Term Disability, Critical Illness, and Accident Insurance Wellness Programs, including Employee Assistance Program #J-18808-Ljbffr Finzly