Senior Software Developer - Databricks

Résumé du poste

You will lead the infrastructure development and operational strategy for Snowflake and Databricks platforms. This includes managing infrastructure as code, ensuring system reliability, and collaborating with product teams to optimize platform performance and costs.

Détails du poste

Build the backbone of scalable data platforms at Coveo As a Senior Software Developer within the Data Platform’s Infrastructure team, you will lead efforts to improve the reliability, cost efficiency and platform enablement of both Snowflake and Databricks. You will own the operating model for these platforms, the infrastructure as code that deploys them, and the performance and operational practices that keep them healthy. You will join a team that treats infrastructure as a product and that focuses on reliability, performance and ownership. Your technical leadership will shape how our data platforms evolve and scale across the company. As our Senior Software Developer, Data Platform Infrastructure, you will: Build and maintain infrastructure as code for the Data Platform, including Terraform modules, CI CD pipelines and change management Own Snowflake and Databricks platform operations, governance and lifecycle, including workspace and account design Define cost management and collaborate with FinOps on forecasting and optimization of both platforms Implement observability and operational readiness with monitoring, alerts, dashboards, runbooks and on-call practices Coordinate with product teams and vendors to monitor roadmaps and feature sets for Snowflake and Databrick while aligning platform capabilities with product needs Here is what will qualify you for the role: Strong experience managing a Databricks infrastructure at scale Proven track record delivering reliability and observability for high-scale SaaS, including SLOs, alerts, and incident response Advanced Python and SQL skills What will make you stand out: Snowflake experience, including warehouse tuning, governance, and terraform/ddl provisioning Experience designing and operating a hybrid data platform that integrates Databricks and Snowflake Strong Spark skills for tuning, partitioning knowledge, and improving performance of large jobs Knowledge of security and governance best practices on both platforms Delta Lake and lakehouse expertise: experience with table formats, CDC, compaction, and storage layout optimizations that improve performance and enable efficient interoperability between Databricks and Snowflake Do you think you can bring this role to life? Or add your own color? You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable. Send us your application, we want to hear from you! Join the Coveolife! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs. #li-hybrid

Ce que vous ferez

You will lead the infrastructure development and operational strategy for Snowflake and Databricks platforms. This includes managing infrastructure as code, ensuring system reliability, and collaborating with product teams to optimize platform performance and costs.

Exigences

The role requires strong experience managing Databricks infrastructure at scale and a proven track record in delivering high-scale SaaS reliability. Advanced proficiency in Python and SQL is essential, along with expertise in observability and operational readiness.

Compétences indiquées

• SQL · Souhaitée
• CI/CD · Souhaitée
• Terraform · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Databricks
• Snowflake
• Terraform
• Python
• SQL
• Infrastructure as Code
• CI/CD
• Observability
• Data Platform Architecture
• Spark
• Delta Lake
• FinOps
• Cloud Governance
• Performance Tuning
• Incident Response

Domaines d’emploi

• Software
• Data & Analytics
• Technology
• Engineering