Senior Software Engineer, Data Platform

* This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.
* Design and implement core components of the data platform (e.g., data lake, streaming infrastructure, DaaS, catalog), emphasizing scalability, reliability, and observability.
* Balance hands-on delivery with architectural foresight, contributing to cross-functional initiatives that strengthen the platform.
* Partner with data and engineering stakeholders to understand requirements and deliver effective, efficient solutions for data acquisition, transformation, and integration.
* Write unit and integration tests, validating software against acceptance criteria to ensure platform reliability.
* Apply and promote team standards for coding, documentation, and testing, ensuring maintainable and high-quality engineering practices.
* Conduct impact analysis to identify dependencies and assess potential risks of changes across applications and services.
* Develop a strong understanding of platform use cases and business processes to align technical solutions with organizational needs.
* Experiment with new tools and approaches, validate assumptions, and recommend solutions that improve the platform’s capabilities.
* Participate in design and code reviews, providing constructive feedback and communicating changes effectively.
* Document platform components and designs, ensuring projects are maintainable and understandable by others.
* Troubleshoot and resolve production issues, proposing effective solutions to restore platform stability.
* Contribute to sprint commitments and actively engage in Agile practices, including retrospectives and process improvements.
* Engage in continuous learning, deepening knowledge of modern data platform technologies, distributed systems, and engineering best practices.
* ** Customer Empathy:
** Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.
* ** Engineering Excellence:
** Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.
* ** One Team:
** A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.
* ** Owner’s Mindset:
** Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.
* Bachelor’s degree in Computer Science, Information Systems, or a closely related field; or equivalent work experience
* Minimum 5 years of software engineering experience, with recent hands-on experience building and maintaining data platforms or distributed systems in cloud environments
* Strong knowledge of software engineering best practices, with practical experience building and operating data platforms, products, or solutions
* Experience building and operating applications on cloud platforms (e.g., AWS, Azure, or GCP), including deploying and supporting containerized services (Docker, Kubernetes, ECS/EKS)
* Familiarity with lakehouse principles (Delta Lake, Iceberg, or Hudi) and best practices for schema evolution, versioning, and performance optimization
* Experience with observability practices (metrics, logs, tracing, alerting) and tools (e.g.,…