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Data Architect

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Response Informatics
Full Time position
Listed on 2025-12-30
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below

Role : Data Architect

Location : Manchester, UK(Hybrid) - 3 days in office

Mode Of Employment – Full time / Permanent

Key Responsibilities
  • Analyze existing financial and investment systems to understand current data structures and conversion needs
  • Define and maintain source-to-target mappings , transformation rules, and data definitions for Snowflake-based platforms
  • Design and execute data migration and ETL / ELT processes , ensuring consistency and quality of migrated data
  • Work closely with business analysts, system owners, and technical teams to gather, validate, and refine data requirements
  • Perform data validation, reconciliation, and issue resolution during migration and testing phases
  • Support testing activities including unit testing, system integration testing, and UAT by validating migrated datasets
  • Create and maintain documentation such as mapping specifications, data dictionaries, conversion plans, and data flow diagrams
  • Ensure compliance with applicable financial regulations, PCI DSS standards, and data privacy policies
  • Provide post-migration support, including defect resolution and data process optimization
Required Skills & Experience
  • Strong hands-on experience in data mapping, migration, and transformation projects
  • Proven expertise with Snowflake and SQL in large-scale data environments
  • Solid understanding of relational databases and data modeling concepts
  • Experience with data quality management , validation, and reconciliation techniques
  • Background in Investment Banking or Financial Services domains
  • Ability to clearly document complex data logic and communicate effectively with stakeholders
  • Strong analytical and problem-solving skills with attention to detail
Nice to Have
  • Experience with large enterprise or regulatory-driven data transformation programs
  • Exposure to dbt or modern ELT frameworks
  • Knowledge of scripting languages such as Python or Java
  • Familiarity with cloud-based data ecosystems (e.g., S3, Databricks)
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