Senior Platform Data Architect

January 10

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iBusiness Funding

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iBusiness Funding is a company that provides tailored funding solutions for small and medium-sized businesses across America. Utilizing their advanced LenderAI platform, they streamline the lending process for both lenders and borrowers, offering a faster and smarter approach to business lending. iBusiness Funding specializes in SBA 7(a) loans, USDA loans, and flexible term loans, offering one application that provides multiple funding options to meet the unique needs of entrepreneurs and financial institutions. Their services cater to small business owners, large corporations, and alternative lenders, featuring innovative technology and sophisticated analytics for data-driven lending decisions.

SaaS • LaaS • Automation • Software Development • FinTech

201 - 500 employees

Founded 2013

💸 Finance

💳 Fintech

🤝 B2B

📋 Description

• Lead the evolution of our data framework and architecture to support the evolution of our platform and our customers’ reporting needs • Lead a team of data engineers and database admins to build out and maintain a performant, fault-tolerant, database systems and infrastructure, using best practices such as sharding/partitioning, replicas, compression, parallelization, etc. • Advise and collaborate with our software engineers to build and maintain optimal data models that align with our data vision and requirements while support product and business requirements • Develop, maintain, and support ETL pipelines with robust monitoring, alarming, and fault-tolerance at scale using cloud native technologies, such as AWS Glue. AWS Data Migration Service, and Lambda • Design data structures that support heavy distributed querying while incorporating data security best practices such as column/row level security • Identify and drive opportunities to continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders. • Provide thought leadership and collaborate cross-functionally with teams such as risk, analytics, and product to design and develop innovative, data-driven products and tools.

🎯 Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline • 5+ years of data engineering experience at a large publicly traded company • 5+ years of experience working with large-scale data repositories, including data lakes and dimensional data warehouses. • 5+ years experience working with multi-tenant data architecture • 5+ years of experience work with AWS database and data lake technologies such as Athena, RDS Aurora, RedShift, Neptune, etc. • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. • Strong experience with data security and privacy best practices, including encryption, access controls, and compliance requirements. • Experience leading and mentoring teams and ensuring adherence to coding standards and best practices. • Experience leading the end-to-end lifecycle of highly available and distributed data systems in a production environment. • Candidates must be authorized to work in the U.S.