FinOps Data Engineer

Job Description

FinOps Data Engineer

Dallas TX - Hybrid work - Weekly 3 days onsite

We are seeking a highly skilled FinOps Data Engineer with a strong foundation in data engineering, cloud cost management, and FinOps principles. This role will focus on building and optimizing data pipelines, enabling actionable insights into cloud spend, and collaborating with stakeholders to implement cost-optimization strategies. The ideal candidate will have expertise in Java, Spring, Python, Snowflake, and tools like Cloudability, along with experience in modern data systems and DevOps practices.

Key Responsibilities

Data Engineering and Analytics

Design, build, and maintain scalable ETL pipelines to process and analyze large volumes of cloud cost and usage data.

Utilize Snowflake to create and manage data warehouses for efficient querying and reporting.

Implement event-driven workflows using AWS Step Functions to automate data processing tasks.

Work with relational and NoSQL databases to store, process, and retrieve FinOps-related data.

Cloud Cost Management and Optimization

Leverage tools like Cloudability to gather, process, and analyze cloud cost data.

Integrate with cloud provider APIs (AWS, GCP, Azure) to collect detailed billing and usage information.

Develop cost allocation models, tagging strategies, and chargeback processes for accurate cost tracking.

Build predictive models for budgeting, forecasting, and anomaly detection in cloud spend.

API Development and Integration

Develop and maintain APIs to expose cloud cost and usage data to stakeholders and tools.

Integrate FinOps solutions with existing SDLC pipelines and DevOps workflows for seamless operations.

Collaboration and Insights

Collaborate with DevOps, cloud engineering, and finance teams to identify and implement cost-saving opportunities.

Create dashboards and reports using visualization tools (e.g., Tableau, Power BI, or Looker) to provide actionable insights.

Advocate for FinOps principles across teams, promoting cost visibility and accountability.

Security and Compliance

Ensure data security and compliance with organizational and industry standards for all FinOps data pipelines and tools.

Deliverables:

-Process Flows

-Mentor and Knowledge transfer to client project team members

-Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility

-Participate in data conversion and data maintenance

-Provide best practice and industry specific solutions

-Advise on and provide alternative (out of the box) solutions

-Provide thought leadership as well as hands on technical configuration/development as needed.

-Participate as a team member of the functional team

-Perform other duties as assigned.

Preferred Qualifications

FinOps Certified Practitioner or similar certification.

Experience with advanced data visualization tools.

Familiarity with machine learning for cost forecasting and anomaly detection