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Data Architect – 8 Month FTC
AND Digital. Define and evolve data strategy, architecture principles, standards, and target-state roadmaps .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture within cloud-native environments, focusing on designing secure, governed data architectures and operational data pipelines. Proficient in data modeling, event-streaming platforms, and ensuring data quality and compliance with regulatory obligations.
Highest-signal resume keywords
Data Architecture ExpertiseEvent-Streaming Platforms (Kafka, Kinesis)Data Modeling SkillsCloud Data ArchitecturesAgile Environment Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Strategy DefinitionArchitectural PrinciplesData Pipelines (APIs, Streaming, CDC, ETL/ELT)MicroservicesDomain-Driven DesignData OwnershipEvent-Driven IntegrationData QualityMetadata ManagementSecurity Compliance
Soft Skills
Pragmatic Decision-MakingCollaborationAdaptability
Tools & Technologies
KafkaKinesisCloud PlatformsAI-Assisted ToolsSFTP
Industry Keywords
UK Wealth ManagementFinancial ServicesFintechRegulated IndustryLegacy Modernization
Tech Stack
Tools & technologiesCloudETLKafkaMicroservicesNoSQLOracleSQL
About the role
Key responsibilities & impact- Define and evolve data strategy, architecture principles, standards, and target-state roadmaps
- Balance scalability, resilience, security, cost, and delivery speed
- Design and operate event-streaming platforms and distributed data systems
- Model data and select appropriate storage technologies based on business and technical requirements
- Architect operational and analytical data pipelines across APIs, streaming, CDC, batch, and ETL/ELT
- Embed data quality, lineage, metadata, security, testing, and observability into data flows
- Work closely with engineering and product teams in agile environments
- Make pragmatic architectural trade-offs and establish lightweight guardrails, automation, and architecture decision records
- Design secure, well-governed cloud data architectures for sensitive data and regulatory obligations
- Experiment with AI-assisted architecture and engineering tools
Requirements
What you’ll need- Hands-on data architecture expertise in complex, cloud-native environments
- Experience defining data strategy, architectural principles, standards, guardrails, and target/transition architectures
- Deep expertise in microservices, domain-driven design, bounded contexts, data ownership, event-driven integration, eventual consistency, and distributed transactions
- Hands-on experience designing and operating Kafka, Kinesis, or equivalent event-streaming platforms
- Knowledge of partitioning, ordering, event contracts, schema evolution, idempotency, replay, delivery guarantees, fault tolerance, security, and operational support
- Strong data modelling skills
- Ability to select relational, NoSQL, graph, time-series, distributed SQL, and lakehouse data stores
- Experience architecting data pipelines across APIs, streaming, CDC, batch, and ETL/ELT
- Knowledge of data quality, lineage, metadata, security, testing, and observability
- Experience working with engineering and product teams in fast-paced agile environments
- Ability to establish guardrails, automation, and architecture decision records
- Experience designing secure, governed cloud data architectures supporting sensitive data handling, resilience, traceable controls, and regulatory obligations
- Practical experimentation with AI-assisted architecture and engineering tools
- UK wealth management, financial services, fintech, or other complex regulated-industry experience desirable
- Legacy modernisation experience involving Oracle, Sybase, ISAM storage, and SFTP/file-based integration desirable
- Experience with migration, coexistence, reconciliation, CDC, and progressive decoupling desirable
Benefits
Comp & perks- Opportunities to work on projects with big clients and produce meaningful work
- Blended Working model: work from home, clubhouse, client site, or another location
- Dedicated career scrum team
- Annual training and upskilling budget
- Allocated days off for study
- Monthly and quarterly team socials
- 26 days holiday allowance plus bank holidays
- 13 days per year for innovation or upskilling
- 2 days per year for volunteering
- Share scheme
- £1000 flexifund for benefits such as gym membership, Cycle to Work Scheme, and health, dental and optical cash plan
- Additional benefits listed by the employer