Senior Data Platform Engineer

Here’s how your time might break down (actual time can shift depending on business needs):

• Platform Modernization & Legacy Replacement – Reducing reliance on legacy systems through scalable service development

• API & Integration Delivery – Building secure, reliable APIs and supporting internal/external integrations

• Platform Reliability & Engineering Excellence – Driving code quality, observability, and scalable architecture

Platform Modernization & Architecture Execution

• Deliver scalable services and components that successfully replace our .NET legacy platform to Python on Databricks

• Design and implement secure, maintainable APIs and integrations that support internal systems and third-party platforms

Cross-Functional Collaboration & Technical Leadership

• Partner effectively with engineering, data, and product teams while influencing architecture, standards, and delivery practices

• Demonstrate the ability to design and build scalable backend systems in complex, data-intensive environments

• Have a strong ownership mindset and can operate autonomously in ambiguous technical situations

• Collaborate effectively across engineering, product, and data teams in a distributed environment

• Communicate clearly with both technical and non-technical stakeholders

• Bring a pragmatic approach to building vs. buying solutions and can justify trade-offs

• Are naturally curious, adaptable, and thrive in a fast-moving, evolving organization like Greenbox

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

• 7+ years of professional software engineering experience

• 5+ years building scalable backend services and APIs using Python

• Proven experience contributing to or leading platform modernization or migration initiatives

• Experience working in cloud-native environments (preferably Azure)

• Experience designing and operating production-grade REST APIs

• Background in regulated industries such as FinTech, Banking, or Healthcare is a plus

• Advanced Python (service development, testing, packaging, maintainable design)

• Must have proven experience and skills working with Databricks, Spark, and data platform ecosystems

• REST API design, authentication, versioning, and error handling best practices

• Frameworks such as FastAPI or Flask

• Azure cloud services (compute, storage, networking, identity, monitoring, API management)

• CI/CD pipelines, version control, and tooling (Azure DevOps, GitHub Actions)

• DevOps fundamentals including deployment pipelines and secrets management

• Experience with relational and NoSQL databases, event-driven architectures, and asynchronous processing

• Nice-to-have: Vue.js or modern frontend frameworks, Streamlit, Terraform/Bicep, AI-enabled application patterns, and familiarity with .NET/C#

What to Expect from Our Interview Process We believe in a respectful, efficient, and transparent hiring experience. Here’s what you can expect: Step 1: Initial Phone Screen (30 minutes) A brief conversation with a recruiter to learn more about your background, interests, and alignment with the role. Step 2: Hiring Manager Interview (1 hour) A deeper discussion about the role, your relevant experience, and how you’d contribute to the team. Step 3: Role-Specific Assessment or Panel Interview (1 hour) Depending on the role, this may include a take-home assignment, technical interview, or live case study with team members. Step 4: Final Interview or Leadership Chat (1 hour) A final conversation with senior leadership or cross-functional team members to ensure alignment with our mission and values.