Data Developer

Data Developer

ATLAS SP Partners is a global investment firm that seeks to provide stable funding and capital markets services to companies seeking innovative and bespoke structured credit and asset-backed finance solutions. ATLAS SP's tenured experts work with clients to determine the best approach to optimize their capital and achieve their goals, across a broad range of capabilities. Our integrated platform encompasses a holistic suite of capabilities, including asset / portfolio advisory solutions, warehouse / acquisition financing solutions, whole loan purchase / sale and securitization / distribution.

ATLAS SP is "one team" where everyone makes an impact we grow together, win together, and embrace change together. From advancing the markets to supporting our communities, everything we do serves to make a difference. Our people are industry leaders with a passion for client service, complex problem solving, and innovation. We provide our talent with the pathways to grow professionally and personally in a collaborative and inclusive environment. We're proud to build upon a legacy of excellence anchored in deep expertise and client service across the asset management landscape.

Position Overview

ATLAS SP is seeking a data developer to help build out a data ecosystem that enables us to scale our business. You will design and build a foundation to strengthen and scale the existing data model. You will be responsible for collaborating with cross-functional teams to analyze and integrate diverse data sources, ensuring data quality and consistency. You will leverage your expertise in database management, data processing, and analytics to develop and optimize data pipelines, support advanced data modeling, and provide actionable insights through sophisticated reporting tools.

Primary Responsibilities

• Analyze, rationalize and refactor complex ecosystem of legacy systems
• Architect and scale a modern data platform that consumes data from multiple internal sources and vendors
• Enhance the data model taking into account industry best practices
• Build and maintain scalable ETL pipelines to efficiently process large volumes of data
• Work with engineering teams to ensure robust instrumentation across multiple systems
• Partner with business stakeholders to understand and deliver business requirements
• Implement monitoring systems to ensure data quality
• Participate in company-wide Data Governance
• Create data tools for analytics and data scientist team members that assist them in building and optimizing the product.

Qualification and Experience