Senior Data Architect Job London area,Greater London England UK,IT/Tech

Location: Greater London

We are looking for a Senior Data Architect (15+ years experience) to design and own the entire data architecture for a financial services platform covering:

Accounts / Real-Time Ledger (RTL)
Payments Engine

The architect will be responsible for how data is stored, moved, governed, secured, and consumed across operational systems and the enterprise data warehouse (
Snowflake
).

Key Skills

Enterprise Data Platform
ERD (Entity Relationship Diagrams)
Data Flow Diagrams
ADRs (Architecture Decision Records)
Snowflake (Critical Skill)
Snowflake Architecture
Snowflake Data Warehouse
Dynamic Tables
Cortex AI
Dynamic Data Masking
Databases
Apache Spark
Event-Driven Architecture
Lake Formation
Feature Stores
AI/ML Data Architecture
Snowflake Cortex AI
AI-Powered Data Cataloguing
dbt (Data Build Tool)

Skills Required

Schema Design
Replication
Database Performance Tuning
Data Lifecycle Management

Tools

Collibra
Snowflake Horizon Catalog

AI / ML & Analytics

Feature Stores
AI/ML Data Architecture
Snowflake Cortex AI
AI-Powered Data Cataloguing

Data Transformation

dbt (Data Build Tool)

Key Areas

Testing Frameworks
Documentation

Financial Services Domain Experience (Very Important)

Real-Time Ledger (RTL)
Event-Sourced Ledger
Balance Aggregation
Payments
Market Data Feeds
Regulatory Reporting
Client Onboarding

Key Responsibilities

Establish data standards and governance frameworks.
Define data ownership, lineage, and quality controls.

Snowflake Leadership

Design and optimize Snowflake architecture.
Build ingestion frameworks and transformation standards.
Implement security and compliance controls.
Manage warehouse performance and costs.

Database Governance

Review database schemas and performance.
Define migration and versioning standards.
Ensure consistency between transactional and analytical systems.

Data Governance

Implement data quality rules and SLAs.
Manage lineage and metadata.
Support regulatory compliance requirements.

AI & Analytics

Design data products for reporting and analytics.
Build foundations for ML and AI workloads.
Support feature stores and LLM use cases.

Stakeholder Management

Work with Engineering, Risk, Finance, Operations, and Product teams.
Mentor engineers and developers.
Drive architecture decisions across the organization.

Ideal Candidate Profile

15+ years IT experience
5+ years as Data Architect
Strong Snowflake Architecture experience
Financial Services / Banking experience
Data Governance and Data Quality expertise

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