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Senior Platform Engineer

Salary undisclosed

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Key Responsibilities:

  • Collaborate with Solution Architects and Data Engineers to implement scalable and efficient data architectures. Ensure alignment with industry best practices and emerging technologies.
  • Manage infrastructure components across on-premises and cloud environments including provisioning, scaling, and governance.
  • Implement data governance, security, and compliance policies.
  • Implement strategies for data retention, archival, and recovery.
  • Monitor system performance and implement scaling strategies, ensure high availability and disaster recovery capabilities.
  • Provide frameworks and tooling for data management, data profiling and quality.
  • Standardize data access methods to improve efficiency and security.
  • Monitor and optimize cloud resource utilization.
  • Design and implement monitoring solutions for proactive issue detection.
  • Implement workflow automation.

Skills & Qualifications:

Technical Skills:-

  • Cloud Platforms: Expertise in AWS, Azure, or Google Cloud Platform.
  • Infrastructure as Code (IaC): Proficiency with Terraform, CloudFormation, or similar tools.
  • Cluster Management: Automation, cost optimization, cluster scaling.
  • Monitoring & Governance: AWS CloudWatch, Databricks workspace monitoring.
  • Containerization and Orchestration: Experience with Docker, Kubernetes.
  • Data Storage Technologies: Knowledge of databases, data warehouses and data lakes.
  • Monitoring Tools: Familiarity with tools like Prometheus, Grafana, or CloudWatch.
  • Automation Scripting: Ability to write scripts in Python, Bash, or PowerShell.
  • Security and Compliance: Understanding of IAM, encryption, network security, and compliance standards.

Soft Skills:-

  • Problem-Solving: Ability to diagnose complex issues and design effective solutions.
  • Collaboration: Strong teamwork skills to work across various teams and departments.
  • Communication: Clear verbal and written communication for documentation and stakeholder interactions.
  • Adaptability: Willingness to learn new technologies and adapt to changing project requirements.

Experience:-

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Professional Experience: At least 5 years in platform engineering, DevOps, or related roles.
  • Project Experience: Experience with large-scale data platforms or infrastructure projects.