Platform Engineer

• Build and optimize scalable data warehousing and lakehouse solutions and ensure data integrity end‑to‑end
• Create and own robust ELT pipelines connecting multiple internal and external data sources
• Design and implement data models aligned with industry best practices
• Contribute to architectural decisions and bring senior-level technical depth
• Track, structure, and maintain key business metrics and KPIs
• Build and maintain governance processes: data lineage, metadata, quality monitoring
• Implement automated data quality checks, validation, and testing
• Define and enforce data standards, naming conventions, and documentation practices
• Partner with Product, Operations, Finance, and other teams to understand data needs
• Mentor and guide team members to elevate engineering standards
• Translate business requirements into robust technical solutions
• Ensure compliance with data governance, privacy, and security standards
• Drive adoption of best practices across the organization

Senior Data Platform Engineer

• Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security
• Build and maintain CI/CD pipelines and internal developer tooling to improve engineering velocity
• Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Ansible
• Define and enforce platform standards around observability, cost management, and incident response
• Partner with application teams to support containerized workloads and resolve infrastructure bottlenecks
• Collaborate with Customer Success teams by providing reliable and scalable tooling that supports seamless customer onboarding, integrations, and service delivery

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Senior Data Platform Engineer

Platform Engineer