job summary:
We are seeking a senior-level Cost Allocation Data Engineer to design and implement the analytical models powering our enterprise cloud financial management platform. In this role, you will bridge the gap between technical data architecture and financial business logic, creating systems that distribute, attribute, and amortize cloud infrastructure spend across multiple business dimensions to enable transparent chargeback and showback capabilities.
location: Telecommute
job type: Contract
salary: $45 - 50 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
- Architect and implement data models that allocate, attribute, and distribute cloud infrastructure costs across business units.
- Design and deploy an allocation rule engine handling tag-based, account-based, and custom mapping scenarios.
- Build mathematical amortization models for upfront capital outlays, including 1-year and 3-year commitment plans.
- Develop shared-cost distribution logic based on proportional, even split, and fixed coefficient formulas.
- Construct heuristic attribution logic to categorize and allocate untagged cloud expenses using account ownership data.
- Engineer analytical models comparing budgeted spend versus actual consumption and variance trends.
- Formulate forecasting input datasets from historical spending trajectories.
- Ensure all dimensional schemas strictly comply with standard accounting periods and expense-matching rules.
qualifications:
Bachelor's Degree in Computer Science, Information Technology, or a related technical discipline.
5-7 years of enterprise data engineering and dimensional data modeling experience.
Expert-level SQL skills with a proven track record of authoring complex analytical logic.
Demonstrated hands-on experience designing and operating cost allocation, chargeback, or showback architectures.
In-depth understanding of FinOps frameworks and core financial accounting concepts (amortization schedules, accruals, matching principles).
Direct experience utilizing data modeling and transformation frameworks such as dbt, LookML, or similar tools.
PREFERRED QUALIFICATIONS
Previous experience supporting Communications, Media & Technology (CM&T) or enterprise-scale technology services initiatives.
Hands-on familiarity with native cloud billing exports (e.g., AWS CUR, Azure Cost Management, Google Cloud Platform Billing export).
Strong track record partnering directly with finance and FinOps practitioners to translate accounting policies into programmatic data pipelines.
skills:
business logic,core data,dimensional data,Data Engineering,rule engine,SQL,Communications,accruals,amortization,budget,chargeback,Cost Allocation,FinOps,data models,data modeling,distribution models,ecosystems,financial accounting,forecasting,governance frameworks,financial,modeling,Managed Services,high-performance engineering,trend analysis
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
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