Senior Data Architect

Data Platform Architect / Senior EngineerWe are seeking a highly skilled and experienced Data Platform Architect / Senior Engineer to join our team. The successful candidate will be instrumental in designing, developing, and evolving our modern data platform with a strong emphasis on self-service capabilities, data management compliance, and robust governance. This role requires a hands-on individual who can translate product vision into high-level architectural designs and detailed technical solutions, while also providing technical leadership and guidance to development teams.Key ResponsibilitiesArchitectural Design: Understand the product vision and roadmap to create corresponding high-level architectural designs, and subsequently translate these into detailed solutions for specific features during EPIC grooming sessions.Technical Leadership Guidance: Guide development leads and engineers through the development lifecycle, ensuring adherence to architectural principles and best practices.Quality Assurance Collaboration: Collaborate with functional and performance testing teams to define appropriate test strategies and scenarios. Review test results and insights to continuously improve design and code quality.User Feedback Integration: Actively review feedback from users regarding new features or challenges, incorporating insights into future design iterations and improvements.Hands-on Development Troubleshooting: Serve as a fully hands-on Data Engineer, capable of diving into code to identify and resolve issues, bottlenecks, and performance challenges.Resilient Solution Development: Design and build highly resilient, scalable, and observable modern data solutions that meet business requirements.Required Skills and ExperienceProgramming Frameworks: Master-level experience with Java Spring Boot framework.Container Orchestration: Strong expertise with Kubernetes for deploying and managing data platform components.Big Data Technologies: Extensive experience in handling Big Data with a strong background in Spark and Scala.Streaming Platforms: Proficient in Kafka and streaming technologies, including advanced features such as schema registry and data quality implementation.Observability: Hands-on experience with observability stacks, particularly Grafana, for monitoring and gaining insights into data platform performance.Solution Design: Proven ability to design and implement highly resilient and scalable modern data solutions.Problem Solving: Excellent analytical and problem-solving skills, with a keen eye for identifying and rectifying technical issues.Communication: Strong communication skills, capable of articulating complex technical concepts to both technical and non-technical stakeholders.*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator.