Data Manager (Hybrid, Chicago)

GTreasury•Buffalo Grove, IL

30d•Hybrid

About The Position

The mission, should you choose to accept it, is to pioneer and scale Ripple Treasury’s data platform into the future. If you enjoy solving complex business problems in a fast-paced, collaborative, and iterative environment this might be the right role for you! At Ripple, you’ll be a part of makers, breakers, doers, and disruptors, who love to solve real problems and meet real customer needs. As an established FinTech leader in the SaaS treasury management space, our vision is to create the next-generation of technology tools for the global, corporate financial office. We are seeking an innovative and forward-thinking Data Manager passionate about building a world-class platform through a world-class team. Driving the technical direction the technology, the evolution of team, and the engineering excellence to make magic happen.

Requirements

Leadership acumen, first and foremost
Highly skilled at people management, team building, career development, attracting and retaining talent
Strong aptitude with software development lifecycle and engineering excellence processes, Agile methodologies, and the ability to project manage moderately sized projects
Deep data engineering experience in complex distributed systems
Strong technical acumen which allows you to be responsible for the technical domain
Hands-on approach and ready to deep dive into code details with the team
Strong communication, coordination and influencing skills
Expert in automation with ETL process, data movement with data medallion architecture
Deep knowledge and experience with languages/frameworks/tooling (Databricks, SQL, Python, PowerShell, C#/.NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS services)

Nice To Haves

Expertise with Izenda, SSRS and AWS Data Services a bonus

Responsibilities

Lead Platform Data team to build a robust, scalable and resilient data platform serving for all portfolio applications
Manage scope, resources and timelines to deliver data platform insights and analytics that help meet the needs of business and customers. Ability to mitigate against delivery risks
Collaborate with solution teams, product managers, and deliver robust cloud-based Data platform and solutions
Make decisions on the design, architecture, and delivery of systems
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and evaluating technical design & code
Build teams and be an active coach and mentor to your team and grow them in their careers
Drive agile development and analytical methodologies every day
Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team
Interact with your team, customers, and peers to share information and improve cross-department processes
Strive for transparency and partnership between our engineers and our business partners
Engage in concept discussions, and proposed technology solutions, to meet business objectives and influence such decisions
Work with multi-functional project teams on solution architecture options for design
Ensure all work meets quality, operational, and architectural standards needed for organizational success
Participate in the team’s YBIYRI model (you-build-it-you-run-it), which includes participating in their on-call pager rotation.

Benefits

A high impact, high visibility role at a growing SaaS company that values personal growth, accountability, and the concept of “good work”.
This is a great opportunity for someone who wants to make a big impact, work in a fast-paced and collaborative environment, and win as a team to scale a growing business.
A culture of open collaboration and problem solving.
An empowered role on the Engineering team, responsible for driving accurate financial result visibility.
Great benefits, culture, and the ability to work in hybrid model.

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