At a Glance
- Tasks: Design and own data architecture for a cutting-edge financial services platform.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and impactful projects.
- Why this job: Shape the future of finance with your expertise in data architecture and governance.
- Qualifications: 15+ years IT experience, strong Snowflake skills, and financial services background.
The predicted salary is between 90000 - 120000 £ per year.
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
- Foreign Exchange (FX)
- Enterprise Data Platform
The architect will be responsible for how data is stored, moved, governed, secured, and consumed across operational systems and the enterprise data warehouse (Snowflake).
Must-Have Keywords (High Priority):
- Data Architecture
- Enterprise Data Platform
- Data Modelling
- Data Governance
- Data Lineage
- Data Quality
- Data Dictionary
- ERD (Entity Relationship Diagrams)
- Data Flow Diagrams
- Data Contracts
- ADRs (Architecture Decision Records)
- Domain-Driven Design
- Snowflake (Critical Skill)
- Snowflake Architecture
- Snowflake Data Warehouse
- Snowpipe
- Streams & Tasks
- Snowpark
- Dynamic Tables
- Cortex AI
- Dynamic Data Masking
- Row-Level Security
- Clustering Keys
- Materialized Views
- Cost Governance
- Query Optimization
- Databases
- PostgreSQL
- Oracle Database
- Redis
- MongoDB
- TimescaleDB
- InfluxDB
Skills Required:
- Schema Design
- Indexing Strategy
- Replication
- Database Performance Tuning
- Data Lifecycle Management
- Data Integration & Engineering
- CDC (Change Data Capture)
- Debezium
- Kafka Connect
- ETL / ELT
- Apache Spark
- AWS Glue
- Event-Driven Architecture
- NATS JetStream
- Real-Time Data Pipelines
- Cloud & AWS
- AWS S3
- AWS RDS
- AWS Aurora
- AWS Glue
- AWS IAM
- AWS VPC
- AWS Lake Formation
- AWS Redshift Migration
Governance & Compliance:
- GDPR
- BCBS 239
- Data Classification
- Data Stewardship
- Data Ownership
- Data Retention Policies
- Master Data Management (MDM)
Tools:
- Apache Atlas
- Collibra
- Snowflake Horizon Catalog
- AI / ML & Analytics
- Feature Stores
- ML Pipelines
- AI/ML Data Architecture
- Snowflake Cortex AI
- Vector Databases
- LLM Data Pipelines
- AI-Powered Data Cataloguing
- Data Transformation
- dbt (Data Build Tool)
Key Areas:
- Data Modelling
- Testing Frameworks
- Documentation
- Incremental Models
- Analytics Engineering
- Financial Services Domain Experience (Very Important)
Candidates should ideally have experience in:
- Real-Time Ledger (RTL)
- Double-Entry Accounting
- Event-Sourced Ledger
- Balance Aggregation
- Reconciliation
- Payments
- ISO 20022
- SWIFT
- Payment Processing
- Settlement Systems
- Payment Lifecycle
- Foreign Exchange (FX)
- FX Trading Systems
- Trade Data Models
- Market Data Feeds
- Position Keeping
- P&L Attribution
- Risk & Limits
- Exposure Management
- Limit Management
- Risk Aggregation
- Regulatory Reporting
- BCBS 239
- EMIR
- MiFID
- Client Onboarding
- KYC
- AML
- Client Master Data
Key Responsibilities:
- Define enterprise-wide data architecture.
- Design data models across multiple database technologies.
- Establish data standards and governance frameworks.
- Define data ownership, lineage, and quality controls.
- Design and optimize Snowflake architecture.
- Build ingestion frameworks and transformation standards.
- Implement security and compliance controls.
- Manage warehouse performance and costs.
- Review database schemas and performance.
- Define migration and versioning standards.
- Ensure consistency between transactional and analytical systems.
- Implement data quality rules and SLAs.
- Manage lineage and metadata.
- Support regulatory compliance requirements.
- Design data products for reporting and analytics.
- Build foundations for ML and AI workloads.
- Support feature stores and LLM use cases.
- Work with Engineering, Risk, Finance, Operations, and Product teams.
- Mentor engineers and developers.
- Drive architecture decisions across the organization.
Ideal Candidate Profile:
- Mandatory: 15+ years IT experience, 5+ years as Data Architect, Strong Snowflake Architecture experience, Financial Services / Banking experience, Data Governance and Data Quality expertise, Real-time Data Pipelines experience, AWS Cloud experience, Strong SQL and Data Modelling skills, Stakeholder Management experience.
- Preferred Certifications: Snowflake SnowPro Core, Snowflake SnowPro Architect, AWS Solutions Architect, AWS Data Analytics.
Senior Data Architect in London employer: VBeyond Corporation
Join a leading financial services platform as a Senior Data Architect, where you will play a pivotal role in shaping the data architecture that drives our innovative solutions. We pride ourselves on fostering a collaborative work culture that values continuous learning and professional growth, offering extensive opportunities for career advancement and skill development. Located in a vibrant city, we provide a dynamic environment that encourages creativity and teamwork, making us an exceptional employer for those seeking meaningful and rewarding employment.
