Data Platform Engineer, Solna
On-siteSolna, Stockholm, Sweden
Job Summary
Design, build, and maintain the Azure and Databricks infrastructure supporting analytics, AI, and data product development. Manage and optimize Azure Databricks, Azure Data Lake, networking, and platform services while implementing Infrastructure as Code with Terraform. Establish automation capabilities, CI/CD pipelines, and observability frameworks to ensure platform security, scalability, and resilience. Troubleshoot complex issues, drive disaster recovery planning, and enable machine learning capabilities through robust platform engineering practices. Act as a trusted subject matter expert to help engineering teams adopt cloud best practices and improve operational efficiency. Collaborate with Data Architects, Enterprise Architects, and Security teams to shape the evolution of the organization's modern cloud-based platform.
Required Qualifications
- Bachelor's degree in computer science, Information Technology, Engineering, or a related field
- 5+ years of experience in Platform Engineering, Cloud Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or similar roles
- Proven experience designing, implementing, and operating secure, scalable, and resilient cloud infrastructure in Azure
- Experience supporting modern data platforms, analytics, AI, and machine learning workloads
- Fluent in English, both written and spoken
Desired Qualifications
- Experience with Microsoft Purview and Apache Airflow
- MLOps and Azure AI Services
- Multi-cloud environments
- Azure Solutions Architect, Azure Administrator, or Databricks Platform Administrator certifications
- Experience from the logistics industry
- Swedish, Danish, Finnish, or Norwegian
- Azure cloud and data platforms, including Azure Databricks Administration, Azure Data Lake, data integration services, and analytics workloads
- Infrastructure as Code and platform automation, including Terraform, Git, CI/CD, automated provisioning, and configuration management
- Containerized and cloud-native environments, including Kubernetes and Docker
- Cloud networking and identity management, including Azure Networking, Entra ID/IAM, DNS, connectivity, private networking, routing, and firewalls
- Security, compliance, and governance, including implementation of security controls and governance frameworks within regulated environments
- Observability and platform operations, including monitoring, troubleshooting, high availability, platform reliability, and cost optimization (FinOps)
- Scripting and automation, using Python, PowerShell, or Bash
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