Platform Engineer

About the Opportunity 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. What do you need to be successful? Required 5+ years experience in data engineering, platform engineering, or similar technical roles. Hands-on experience with Snowflake , including warehouse design, performance tuning, security, and governance. Strong proficiency with dbt (Cloud or Core) and modern data modeling approaches. Experience configuring Airflow for orchestrating complex workflows. Solid understanding of Terraform (or equivalent IaC tooling). Experience with CI/CD: pipeline implementation, testing automation, etc. Familiarity with Okta or similar identity management platforms. Exposure to data reliability tools such as Monte Carlo (or similar). Strong SQL skills and familiarity with Python for pipeline scripting. Experience supporting production systems (incident management, SLAs, monitoring). Ability to work effectively in distributed, cross-functional teams. Strong communication skills and a collaborative mindset. Preferred Experience implementing data governance frameworks or catalogs (e.g., Atlan, Alation, Collibra). Background in platform or product engineering environments. Experience supporting analytics tools such as Tableau at scale. Knowledge of secure data architectures and compliance best practices. Experience utilizing AI for development. What's in it for you? Join an ambitious tech company reshaping the way people build digital experiences Full-time employees receive Stock Options for the opportunity to share in the success of our company Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. Fertility and family building benefits, inclu ... (truncated, view full listing at source)