Software Engineer, Data Platform

Position: Staff 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.
* ** 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 developing and supporting cloud-native applications (AWS, Azure, or GCP), including containerized services (Docker, Kubernetes, ECS/EKS)
* Working knowledge of lakehouse technologies (Delta Lake, Iceberg, Hudi) with hands-on experience in schema evolution and optimization
* Strong understanding of observability practices (metrics, logging, tracing, alerting) and experience applying them with tools such as Dynatrace, Splunk, or Cloud Watch to ensure platform reliability and performance.
* Applied experience with data storage and processing technologies, including object stores (S3, ADLS, GCS), relational databases, and No

SQL systems
* Awareness of data governance and security practices (e.g., access controls, encryption, compliance considerations), with the ability to design platform components that align with organizational standards
* Strong knowledge of distributed systems concepts (scalability, reliability, consistency, partitioning) and their application to large-scale data platforms
* Experience working with enterprise-class applications where uptime, reliability, and scalability are essential
* Strong programming skills in one or more languages commonly used for platform engineering (e.g., Python, Java, Scala, Go)
* Demonstrated ability to mentor and coach less experienced engineers, contributing to team growth and technical maturity
* Familiarity with Agile delivery practices and other software development lifecycle methodologies
* Advanced expertise in lakehouse technologies (Delta, Iceberg, Hudi), including performance tuning and reliability at scale
* Hands-on experience with workflow orchestration frameworks (Airflow, Dagster, Prefect, Databricks Workflows)
* Strong background in CI/CD pipelines for platform services
* Deep familiarity with observability and SRE practices (SLAs/SLOs/SLIs, distributed tracing, advanced monitoring tools)
* Experience with performance tuning and cost optimization for large-scale data platforms
* Financial services or Fin Tech industry experience
* Designs and implements major components of the data platform that are scalable, reliable, and aligned with platform…