Software Engineer (Data Platform)

Join Pantheon, a leading webops platform, as a Software Engineer II on the Data Platform team. In this role, you will build scalable and reliable data systems, partner with internal teams to deliver high-impact data solutions, and contribute to the technical strategy and operations of Pantheon's data platform. You will also have the opportunity to work remotely or in the San Francisco office, enjoy flexible time-off, and participate in various employee resource groups and professional development opportunities.

• Construire des systèmes de données évolutifs et fiables tout en maintenant les niveaux de service pour les pipelines critiques pour l'entreprise.
• Collaborer avec d'autres équipes internes pour fournir des solutions de données à fort impact et soutenir les outils d'auto-service.
• Contribuer à la stratégie technique et aux opérations de la plateforme de données de Pantheon, en mettant en œuvre les meilleures pratiques.
• Quality Mindset: Understanding of how to integrate automated test coverage and validation into a deployment pipeline
• Strong Written and Verbal Communication Skills: The ability to clearly articulate technical designs, project status, and potential risks to both technical peers and non-technical stakeholders (Product, Sales, Finance, etc.)
• Data Modeling and Architecture: The capability to design, implement, and optimize scalable data models (e.g., dimensional, normalized) for both data warehouse (OLAP) and transactional (OLTP) systems to ensure data integrity and query performance
• Understanding of Distributed Data Systems: Familiarity with the concepts and challenges of processing large-scale datasets across distributed systems and a clear grasp of trade-offs when designing solutions for high throughput and low latency
• Customer/Product Focus: An understanding of the direct or indirect business value of their work, ensuring that data solutions align with company-wide goals and provide maximum impact for internal and external customers
• Demonstrated Experience: 3-5+ years of experience building production services and features, ideally with a mix of Data Engineering expertise
• Database Knowledge: Comfortable using SQL with relational databases (e.g. MySQL, Postgres) and data warehouses (e.g. Snowflake, BigQuery)
• Data Experience: Familiarity with modern data stacks (e.g. Snowflake, dbt, Airflow, Looker)
• Cloud & Infrastructure: Experience working with containerization (e.g., Docker, OCI), Terraform, and Kubernetes (K8s)
• Coding Proficiency: Ability to build maintainable components in Python and/or Go