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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture, including the design of scalable data models and integration of data sources. Proficient in translating business and regulatory requirements into technical specifications while ensuring data governance and quality standards.
Highest-signal resume keywords
Data ArchitectureSnowflakeSQLData ModellingStakeholder Management
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 ArchitectureData ModellingSQLData WarehousingETLData IntegrationData TransformationReverse EngineeringData QualityTechnical Specifications
Soft Skills
CommunicationOwnershipIndependenceStakeholder Management
Tools & Technologies
SnowflakeThought Machine VaultAWSDbtAirflow
Industry Keywords
KYCAMLFCAPRABankingFintechPaymentsData Governance
Tech Stack
Tools & technologiesAirflowAWSETLSQLVault
About the role
Key responsibilities & impact- Take ownership of the existing data architecture and reverse-engineer systems where required
- Analyse data landscapes across core banking, payments, CRM, customer applications and supporting services
- Map data sources, integrations, transformations, dependencies and data consumption points
- Translate business and regulatory requirements into scalable data architectures and technical solutions
- Design conceptual, logical and physical data models, data flows and transformation rules
- Prepare detailed source-to-target mappings, data contracts, interface specifications and data quality requirements
- Identify architectural gaps, technical debt and risks and propose remediation approaches
- Support data requirements related to KYC, AML, transaction reporting and other regulatory processes
- Contribute to data governance, security, lineage, ownership and data quality standards
- Review implementations and communicate technical decisions, dependencies and trade-offs to technical and non-technical stakeholders
- Join an active greenfield UK banking platform project built on Thought Machine Vault, with Snowflake as the analytical data platform
- Work closely with architects, engineers, product owners and business stakeholders
Requirements
What you’ll need- Strong experience as a Data Architect, Solution Architect or Lead Data Engineer, with hands-on experience in data architecture
- Strong hands-on experience with Snowflake, SQL, relational databases and data modelling
- Experience with data warehouses/lakes and ETL/ELT processes
- Experience reverse-engineering existing systems with limited documentation
- Ability to translate business requirements into implementation-ready technical specifications
- Strong understanding of data integrations, pipelines, transformation patterns and analytical data platforms
- Ability to work independently, take ownership and bring structure to an already-running programme
- Strong communication and stakeholder management skills
- Upper-Intermediate (B2) English or higher
- Willingness to travel for business trips to Poland and the UK when required
- Nice-to-have: experience in banking, fintech, payments or other financial services
- Nice-to-have: familiarity with UK banking and regulatory requirements such as FCA/PRA, KYC or AML
- Nice-to-have: experience with Thought Machine Vault, ClearBank or similar core banking/BaaS platforms
- Nice-to-have: experience with AWS, dbt, Airflow or similar data transformation/orchestration technologies
- Nice-to-have: knowledge of data governance, lineage and cataloguing, event-driven architectures, APIs, streaming platforms and CI/CD practices
Benefits
Comp & perks- Equal opportunities in recruitment, career development, and leadership
- Diverse and inclusive work environment
- Talent team support and information about what Avenga offers and how it supports employees
- Career development opportunities
