Cloud Data Analytics Engineer
On-siteMexico City, Mexico City, Mexico
Job Summary
Develop cloud architecture intelligence and cost optimization models by mapping architectural decisions to cost drivers across compute, storage, and networking services. Build automated dashboards and reporting to provide real-time visibility into cloud spend trends and engineering operations, while performing ad hoc data exploration to answer immediate business needs. Enforce cloud governance policies including tagging standards and rightsing practices, and partner with engineering teams to review deployment decisions for cost impact. Serve as the primary contact for cloud cost questions from executive stakeholders, translating technical findings into clear business recommendations. Support the Luma team within a global, remote-friendly environment dedicated to accelerating scientific innovation.
Required Qualifications
- 5+ years of experience in data analysis
- deep understanding of cloud operations
- cloud architecture
- related technical infrastructure role
- demonstrated experience analysing and optimising cloud spend at enterprise scale
- Advanced proficiency in English
- ability to communicate complex ideas clearly in writing
- ability to communicate complex ideas clearly in speech
- Advanced SQL
- Python
- data science frameworks
- report generation frameworks
- Hands-on experience with AWS
- Hands-on experience with Databricks
- multi-cloud expertise
- Strong understanding of cloud-native architectures
- containerisation
- serverless
- managed databases
- distributed systems
- observability platforms
- monitoring platforms
- Ability to produce clear written communication of technical findings
- Ability to produce clear visual communication of technical findings
- Familiarity with version control systems (e.g., Git)
- CI/CD workflows for data engineering projects
- BI tools (e.g., Looker, Mode, Tableau)
- Ability to work directly with business teams
- Ability to align on KPIs
- Ability to define requirements
- Ability to deliver impactful insights
- Ability to write and maintain data dictionaries
- Ability to maintain dbt Docs
- Ability to maintain internal wikis
- Ability to design and build BI assets
- Ability to create explainable BI assets
- Ability to create sustainable BI assets
- Ability to create BI assets in excel spreadsheets
- Ability to create BI dashboards
- Ability to create powerpoint presentations
Desired Qualifications
- Experience in life sciences
- pharma
- regulated industry cloud environments
- GxP contexts
- 21 CFR Part 11 contexts
- Familiarity with FinOps frameworks
- cloud cost management tooling such as CloudHealth
- Apptio
- native cloud cost tools
- Prior experience in a high-growth SaaS company
- Prior experience in an enterprise software company
- Relevant certifications such as AWS Solutions Architect
- GCP Professional Cloud Architect
- FinOps Certified Practitioner
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