Job Description
The role involves managing and optimizing the data platform infrastructure, particularly Databricks and AWS services, to enable data-driven decision-making and AI initiatives within Samsara's connected operations ecosystem.
Key Responsibilities
- Administer, monitor, and troubleshoot Databricks workspaces and AWS infrastructure.
- Develop platform administration tools for effective management of resources, security, and performance.
- Collaborate with data teams to operationalize and optimize data workflows and pipelines.
- Oversee data engineering development ecosystem, including CI/CD pipelines, dev tooling, and monitoring frameworks.
- Implement and manage IaaC automation for Databricks and AWS resources using Terraform, CloudFormation, and other tools.
- Ensure security, high availability, disaster recovery, and compliance of data services.
- Engage with stakeholders to understand data needs and design scalable solutions.
- Lead rapid prototyping and proof-of-concept initiatives for performance, security, and scalability assessments.
- Mentor junior team members and provide technical guidance and training.
Requirements
- Bachelor's or Master's degree in Computer Sciences, Software Engineering, Electrical Engineering, Computer Engineering, or related discipline.
- 10 years experience in a Software Engineering, Platform Engineering, Data Engineering, DevOps DataOps or similar technical role.
- At least 2 years of experience in a data infrastructure or platform focused role.
- Experience building, delivering, and administering large-scale production-grade data platforms and services to data engineering, business analyst, and data-science teams.
- Solid knowledge of Databricks features and administration, including Unity Catalog, cluster management, security, troubleshooting and root-cause analysis, and performance optimization.
- Experience and familiarity with AWS services and Cloud Infrastructure provisioning, management, monitoring, and security, e.g., S3, IAM, RDS, Lambda, API-Gateway, VPC, EC2, ECS, EKS.
- Strong knowledge of SQL and Python, and hands-on data-engineering experience in designing and developing data pipelines and ETL routines from sources such as SaaS corporate systems, APIs, and RDBMS.
- Skilled with change-data capture, incremental and batch loading techniques.
- Experience troubleshooting underlying issues and translating them into technical solutions.
- Excellent problem-solving, communication, and stakeholder management skills.
- Experience delivering and managing Databricks and AWS Infrastructure for hundreds of users.
- Experience as a technical lead.
- Knowledge of DevOps tools and practices, including GitHub, GitLab, CI/CD systems, Terraform, and monitoring/logging tools such as Datadog and CloudWatch.
- Experience implementing robust data governance and security measures to ensure data integrity and compliance.
Benefits & Perks
Competitive total compensation package including base salary, bonus, and RSUs
Remote and flexible working options
Health benefits
Opportunities for career development and rapid advancement
Inclusive work environment with accommodations for disabilities
Supportive team culture with mentorship and knowledge-sharing
Ready to Apply?
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