Data Architect

3 days ago


Manchester, New Hampshire, United Kingdom Response Informatics Full time

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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