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.
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