Charles Alan Consulting Ltd
Lead FinOps Data Architect
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We are looking for a hands-on Lead FinOps Data Architect to lead the technical design and delivery of a new enterprise capability providing trusted visibility of AI, cloud and data-platform cost and consumption.
This is not a traditional FinOps or finance analyst role. We need a strong Data Architect / Data Engineering professional who understands cloud cost, billing, usage data and how to turn it into actionable insight.
The Role
You will take technical ownership of a central AI & Cloud Cost and Usage Data Product, working across:
- Azure, AWS and Snowflake
- OpenAI and other AI providers
- Billing, invoice, pricing and usage data
- Cost attribution and allocation
- Showback / chargeback
- Forecasting and optimisation
- AI consumption and unit economics
You will define the architecture and data models, establish engineering standards and provide technical leadership to a small team of data engineers while remaining hands-on.
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What you will be doing
- Own the end-to-end technical architecture and delivery
- Design canonical cost and usage data models across multiple providers
- Architect billing, invoice and usage-data ingestion and reconciliation
- Design cost allocation and attribution models
- Establish secure, auditable and observable data pipelines
- Lead technical decisions across SQL, Python, ELT/ETL and orchestration
- Define standards for data quality, lineage, schema management and reconciliation
- Turn complex cloud and AI telemetry into trusted FinOps insights
- Lead and mentor data engineers while contributing directly to delivery
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What we are looking for
Strong experience across FinOps / Cloud Economics, Data Engineering and Data Architecture, including:
- Azure Cost Management and AWS CUR / Cost Explorer
- Snowflake cost and usage
- Cost allocation, showback/chargeback, forecasting and optimisation
- Advanced SQL and Python
- Data modelling and enterprise data architecture
- Cloud data pipelines, orchestration, testing, lineage and observability
- Designing governed enterprise data products from complex data sources
Experience with AI/LLM consumption, token usage, API costs or AI cost attribution would be particularly valuable.
The key requirement
We need someone who can design it, lead it and build it, not someone operating purely at enterprise architecture level.
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