About the role

Kula Example is seeking a Data Platform Engineer to build and manage foundational data infrastructure, including data lakes and warehouses, supporting engineering, analytics, and ML teams. The role focuses on ensuring platform reliability, security, and performance while providing technical leadership.

Skills

Kubernetes Terraform Python Go Data Infrastructure Cloud-native Data Services Distributed Systems Data Lake Management Data Warehouse Management Data Security Data Governance Data Quality Data Lineage Monitoring Troubleshooting Technical Leadership

Full job details

About: Join as a Data Platform Engineer to build and manage the foundational data infrastructure used by engineering, analytics, and ML teams.

As a Data Platform Engineer at Showcase, you will play a critical role in building and managing the foundational data infrastructure that powers our engineering, analytics, and ML teams. This is a unique opportunity to design and implement scalable, reliable, and secure data platforms that drive business insights and inform strategic decisions.

Requirements: To be successful in this role, you will need: 4+ years of experience in platform or infrastructure engineering, with a strong track record of delivering high-quality, scalable, and reliable systems. You should have extensive experience with Kubernetes, Terraform, and cloud-native data services, as well as proficiency in Python/Go and distributed systems knowledge.

Responsibilities: As a Data Platform Engineer, your primary responsibilities will include: Building self-service data platform tooling and abstractions that enable teams to easily access and analyze data. Managing data lake and warehouse infrastructure to ensure scalability, security, and performance at scale. Ensuring platform reliability, security, and performance through proactive monitoring, troubleshooting, and optimization. Collaborating with cross-functional teams to design and implement data platforms that meet business needs and drive strategic goals. Developing and maintaining technical documentation and knowledge base to support platform operations and onboarding. Providing technical leadership and mentorship to junior engineers and supporting their professional development. Staying up-to-date with industry trends and emerging technologies to ensure the data platform remains innovative and competitive. Designing and implementing data security and access controls to protect sensitive data and meet regulatory requirements. Ensuring data quality, integrity, and governance through data validation, data profiling, and data lineage.

In this role, you will have the opportunity to work with a talented team of engineers and data scientists to design and build scalable, reliable, and secure data platforms that drive business insights and inform strategic decisions.