- Location
- Sunrise, FL,US, US
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- Bachelor
- Source
- Eightfold
Description
Lead architecture and implementation of the Unified FinOps Data Platform. Design scalable cloud-native data solutions supporting cost allocation, forecasting, optimization, and reporting. Define data standards, governance frameworks, and engineering best practices. Serve as technical lead for FinOps data architecture across AWS and GCP environments. Lead DevOps automation, CI/CD, Infrastructure as Code, and platform reliability initiatives. Enable AI/ML and Generative AI capabilities through scalable data architectures and governed data products. Support AskFinOps AI use cases including forecasting, anomaly detection, and intelligent optimization. Data Products & Pipeline Development Build and maintain enterprise-grade pipelines for: Cloud billing and usage data 3+ years designing large-scale cloud-native data platforms. Strong expertise in AWS and/or GCP data ecosystems. Experience with modern data platforms (BigQuery, Snowflake, Databricks, Redshift). Expertise building ETL/ELT pipelines and data orchestration frameworks. Experience with DevOps practices including CI/CD, Infrastructure as Code, and cloud automation. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Experience supporting AI/ML or Generative AI data platforms and solutions. Experience with financial, billing, usage, or operational analytics datasets. Experience with FinOps, cloud cost management, or cloud financial governance. Experience with Terraform, GitHub Actions, Jenkins, or similar DevOps tools. Experience with Vertex AI, or similar AI platforms, Generative AI tools and AI-enabled analytics platforms. FinOps Certified Practitioner or Professional. Bachelor's degree in Computer Science, Engineering, Analytics, or related field. Develop near real-time ingestion and processing capabilities. Automate reconciliation between cloud provider invoices and financial reporting systems. Enable forecasting and planning models using historical consumption, demand signals, and business growth trends. Support AI-enabled insights and decision automation capabilities. Deliver trusted, SOX-compliant datasets and reporting structures. Establish data quality monitoring, lineage, and observability standards. Collaborate with FinOps, Finance, Product Engineering, Architecture, and Data teams. Mentor engineers and establish engineering standards for the FinOps platform. Drive adoption of data products and self-service reporting capabilities.
