Finance Data Architect

Unity Advisory

Finance Data Architect at Unity Advisory defining finance data architecture for AI projects. Leading architectural decisions and strategy in a client-facing role for finance leaders.

Posted 7/14/2026full-time🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing finance data architectures, data modelling standards, and cloud data platforms, with a strong focus on compliance and AI integration. Capable of translating complex business challenges into actionable architectural solutions while leading engineering teams.

Highest-signal resume keywords

Data Architecture DesignData Modelling ExpertiseSQL ProficiencyCloud Provider FluencyStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingData GovernanceWarehouse DesignLakehouse DesignSQLPythonAI/ML Data FoundationsData LineageArchitectural Direction

Soft Skills

Stakeholder SkillsCommunication SkillsLeadership

Tools & Technologies

AWSAzure

Industry Keywords

Finance Data ArchitectureAnalytics-Ready ModelsMaster-Data StructuresChart-of-AccountsCompliance Standards

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

Define target-state finance data architectures for clients
Establish finance data modelling standards
Design chart-of-accounts, dimensional, and master-data structures
Map and integrate finance source systems into governed, analytics-ready models
Design finance data foundations for applied AI/ML
Set patterns for secure, compliant finance data platforms
Provide architectural direction for cloud data platforms
Define the data lineage and controls that support responsible production AI
Translate ambiguous business and client problems into clear architectural decisions
Own key technical trade-offs and communicate them clearly

Requirements

What you’ll need

Significant experience designing and delivering data architectures for production systems
Deep expertise in data modelling, warehouse/lakehouse design, and data governance
Hands-on background in SQL and Python
Fluency with at least one major cloud provider (AWS or Azure)
System-level judgement on how data architecture shapes AI outcomes
Ability to set standards and lead engineers while remaining close to implementation
Strong stakeholder skills, including engaging senior client sponsors

Benefits

Comp & perks

Inclusive and accessible recruitment process
Adjustment assistance for interviews