Finance Data & AI Architect Lead (Azure & Fabric)

Deloitte France

McLean (VA)

On-site

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Deloitte, a leading professional services firm, seeks a Finance Data & AI Manager to lead teams designing end-to-end data solutions using Azure and Fabric, from source integration to trusted data products and AI-powered insights.

You will guide architecture from strategy to production, define reusable finance data products, and collaborate with clients on governance, security, and reporting outcomes while mentoring delivery teams.

Qualifications

6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment.
4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment.
4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting.
Bachelor's degree in a related field (see education).
Microsoft certification in Azure architecture, Fabric, or Power BI is a plus.
2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams.

Responsibilities

Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption.
Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence.
Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview.
Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting.
Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI.
Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses.
Agentic redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting.