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Mid LevelFull-timeRustAgileGitAI
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a senior, commercially astute Data Architect to play a foundational role in designing Unity Advisory’s AI-native data architecture. This role will evolve in two phases: first establishing internal data and AI architecture, then transitioning to client-facing data and AI advisory.
Key Responsibilities
- →Design Unity’s internal data and AI architecture, defining standards, governance, and scalable design patterns.
- →Establish enterprise data governance frameworks and embed quality, lineage, and auditability into architecture.
- →Design semantic models and governed data layers that support LLM-powered extraction and reasoning.
- →Architect modern CFO data environments for finance transformation and support ERP, FP&A, BI, and consolidation integration programmes.
- →Embed AI into the Office of the CFO by designing AI-ready data platforms that support Text2SQL, automated reporting, and intelligent document extraction.
- →Support deals and complex transformations by architecting data environments for financial due diligence, carve-outs, and integrations.
- →Act as a senior architectural voice, engaging directly with CFOs, CIOs, and PE stakeholders.
Requirements
- ✓8+ years’ experience in enterprise data architecture or modern cloud data platforms.
- ✓Proven experience designing cloud-native data environments (e.g., Snowflake, Databricks, BigQuery or equivalent).
- ✓Deep expertise in data modelling, semantic layers, governance, and operating models.
- ✓Strong familiarity with finance systems and processes (ERP, FP&A, reporting, tax or deal environments).
- ✓Practical understanding of how LLMs interact with enterprise data and familiarity with embeddings, semantic search, and hybrid retrieval concepts.
- ✓Comfortable operating in a fast-scaling, high-accountability environment and clear communicator able to translate complex architecture into business language.
- ✓Summary Bullets
- ✓Design and establish Unity’s internal data and AI architecture.
- ✓Define scalable, secure integration patterns across systems.
- ✓Architect AI-ready foundations supporting LLM-powered extraction and reasoning.
- ✓Establish enterprise data governance frameworks and quality standards.
- ✓Develop reference architectures and patterns for client engagements.
- ✓Design target-state data architectures for finance transformation.
- ✓Embed AI into the Office of the CFO with AI-ready data platforms.
- ✓Requirement Bullets
- ✓8+ years’ experience in enterprise data architecture or modern cloud data platforms.
- ✓Proven experience designing cloud-native data environments.
- ✓Deep expertise in data modelling, semantic layers, governance, and operating models.
- ✓Strong familiarity with finance systems and processes.
- ✓Practical understanding of how LLMs interact with enterprise data.
- ✓Familiarity with embeddings, semantic search, and hybrid retrieval concepts.
- ✓Comfortable operating in a fast-scaling, high-accountability environment.
- ✓Benefit Bullets
- ✓[]
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