We are seeking a Data Platform Engineer to help design, build, and scale our next-generation data platform centered on Snowflake . This role will be instrumental in building a modern data ecosystem leveraging tools including dbt Cloud, Airflow, Atlan, Tableau, Okta, Terraform, and Monte Carlo . You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform. What to expect? Platform Architecture & Development Design, implement, and evolve a scalable, secure Snowflake-based enterprise data architecture. Build robust data transformation pipelines using dbt Cloud , ensuring adherence to modeling standards and best practices. Develop and maintain orchestrated workflows. Implement data governance and catalog capabilities through Atlan . Partner with analytics teams to enable performant, governed data assets for Tableau and other downstream tools. Infrastructure & DevOps Implement Infrastructure-as-Code using Terraform for provisioning data infrastructure components and foundational infrastructure in AWS. Manage identity and access control through Okta , ensuring secure, role-based authentication and authorization. Maintain CI/CD pipelines in CircleCI, supporting reliable and automated deployment processes. Configure monitoring, observability, and data reliability workflows with Monte Carlo . Operational Excellence Own and operate platform components encompassing incident response, observability, performance and cost optimization. Maintain high availability and resilience across data pipelines and platform infrastructure. Define and uphold SLAs, runbooks, and best practices for operational support. Participate in an on-call rotation and help improve operational processes over time. Cross-Functional Collaboration Work closely with data engineering, analytics, product, and security teams across geographies. Support a product-led approach: gather requirements, shape roadmap priorities, and continuously deliver iterative improvements. Provide technical guidance and evangelize engineering best practices within the data ecosystem.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees