Operations Data Engineer | Luma
About The Position
Dotmatics is seeking an Operations Data Engineer to own the operational health, architecture intelligence, and cost optimization of their cloud environments. In this role, you will develop a deep understanding of the organization's infrastructure, connect architectural decisions to business outcomes, and provide engineering and leadership with the visibility needed to make smart, cost-conscious decisions at scale. You will get to develop and maintain a comprehensive technical understanding of the organization’s cloud architecture across all major infrastructure components. You will map the relationship between architectural decisions and cost drivers, producing clear models that connect system behavior to spend. You will identify cost anomalies, inefficiencies, and optimization opportunities across compute, storage, networking, and managed services. You will build and maintain dashboards and reporting that give engineering and leadership real-time visibility into cloud cost trends. You will help define and enforce cloud governance policies including tagging standards, resource lifecycle management, and rightsizing practices. You will partner with engineering teams to review architectural decisions for cost impact before and after deployment. You will maintain runbooks and documentation for operational data management processes. You will serve as the primary point of contact for cloud cost and operations questions from engineering, finance, and executive stakeholders. You will translate complex technical findings into clear, business-oriented recommendations for non-technical audiences. You will collaborate with engineering leadership on roadmap decisions that have infrastructure and cost implications. You will work cross-functionally on handoffs and alignment across shared operational responsibilities.
Requirements
- 5+ years of experience in cloud operations, cloud architecture, or a related technical infrastructure role
- Demonstrated experience analyzing and optimizing cloud spend at enterprise scale.
- Python, particularly data science and report generation frameworks.
- Hands-on experience with AWS or Databricks, with a strong preference for multi-cloud expertise.
- Strong understanding of cloud-native architectures including containerization, serverless, managed databases, and distributed systems.
- Experience with observability and monitoring platforms such as Datadog, CloudWatch, or equivalent.
- Ability to produce clear written and visual communication of technical findings for executive audiences.
Nice To Haves
- Experience in life sciences, pharma, or regulated industry cloud environments including GxP or 21 CFR Part 11 contexts.
- Familiarity with FinOps frameworks and cloud cost management tooling such as CloudHealth, Apptio, or native cloud cost tools.
- Prior experience in a high-growth SaaS or enterprise software company.
- Relevant certifications such as AWS Solutions Architect, GCP Professional Cloud Architect, or FinOps Certified Practitioner.
Responsibilities
- Develop and maintain a comprehensive technical understanding of the organization’s cloud architecture across all major infrastructure components.
- Map the relationship between architectural decisions and cost drivers, producing clear models that connect system behavior to spend.
- Identify cost anomalies, inefficiencies, and optimization opportunities across compute, storage, networking, and managed services.
- Build and maintain dashboards and reporting that give engineering and leadership real-time visibility into cloud cost trends.
- Help define and enforce cloud governance policies including tagging standards, resource lifecycle management, and rightsizing practices.
- Partner with engineering teams to review architectural decisions for cost impact before and after deployment.
- Maintain runbooks and documentation for operational data management processes.
- Serve as the primary point of contact for cloud cost and operations questions from engineering, finance, and executive stakeholders.
- Translate complex technical findings into clear, business-oriented recommendations for non-technical audiences.
- Collaborate with engineering leadership on roadmap decisions that have infrastructure and cost implications.
- Work cross-functionally on handoffs and alignment across shared operational responsibilities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
