FinOps Data Engineer

Overview: The FinOps Data Engineer is responsible for providing governance and reporting capabilities to the business for our Cloud and 3^rd Party SaaS tool consumption. This position is responsible for building/maintaining data pipelines and deriving new data sets via programmatically obtained data. From these data pipelines, this position will build dashboards, analyze and audit data and trends, and report out to the business on our Cloud and 3^rd Party tool consumption, spend, and risks. This position will analyze consumption and spend data to identify trends and anomalies in support of maximizing our operational efficiency, identifying cost savings opportunities, and enforcing best practices. This position will also assist with administering and managing access to Cloud and 3^rd Party SaaS tools. 

What you will do:

• Leverage tools like Cloudability to gather, process, and analyze cloud cost data
• Create dashboards and reports using visualization tools (e.g. Tableau) to provide actionable insights
• Build models for budgeting, forecasting, and anomaly detection in cloud spend
• Understand drivers of cloud costs and identify solutions or approaches for cost optimization implementation
• Collaborate with DevOps, Cloud Engineering, and Finance teams to identify and implement cost-saving opportunities
• Advocate for FinOps principles across teams, promoting cost visibility and accountability
• Design, build and maintain scalable ELT pipelines to process and analyze large volumes of cloud cost and usage data
• Programmatically integrate with cloud providers (AWS, Azure, GCP) and SaaS tool providers (e.g. Datadog, MongoDB) to collect detailed billing and usage information
• Utilize Snowflake to create and manage data warehouses for efficient querying and reporting

What we are looking for:

• 2-5 years of experience with data engineering, building ELT data pipelines, creating data visualizations, and analyzing data
• Experience in data engineering, cloud cost management, or FinOps related roles
• Experience building with APIs and integrating them into data driven workflows
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities across non-co-located, cross-functional teams
• Proactive approach to identifying and implementing improvements
• Experience with advanced data visualization tools
• Strong understanding of cloud platforms (AWS, GCP, Azure) and their billing/cost management
• Knowledge of FinOps principles, including cost allocation, budgeting, and optimization strategies
• Proven ability to process and analyze large scale cloud usage data
• Programming: Strong experience with Python for data engineering and automation
• Database Management: Hands-on experience with Snowflake
• ETL and Data Pipelines: Proven expertise in designing and managing ETL workflows and event-driven processes
• Cloud Cost Tools: Experience with cost management platforms like Cloudability, Cost Explorer or similar tools

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