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Senior CRM Data Architect to design and implement data architecture, ETL processes, and data standards eCRM

Job in Montreal, Montréal, Province de Québec, Canada
Listing for: S.i. Systems
Contract position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
  • Engineering
    Data Engineer
Job Description & How to Apply Below
Position: Senior CRM Data Architect to design and implement data architecture, ETL processes, and data standards for an eCRM
Location: Montreal

We are seeking a CRM Data Architect to provide data architecture and data management expertise within an enterprise environment. The role focuses on defining and implementing data requirements, supporting data migration initiatives, and developing data management standards and processes.

The successful candidate will work with stakeholders to design data structures, develop data mappings and data flow diagrams, and support Extract, Transform, Load (ETL) processes. This role also involves producing data models and metadata, developing scripts for data extraction and cleansing, and collaborating with reporting specialists to optimize data for reporting.

Work mode:
Remote

Duration:
April 1, - December 31, (9 months)

Must Have

Skills:

  • 5+ years of demonstrated experience performing data migrations in an enterprise environment
  • 5+ years of experience performing data management services in a development environment
  • 3+ years of experience developing data management standards and processes
  • Extensive knowledge of defining and implementing data requirements
  • Extensive knowledge of Extract, Transform, Load (ETL) processes
  • Extensive knowledge developing data mapping and data flow diagrams
  • Nice to Have skills:

  • Experience with Oracle Fusion
  • Experience working on eCRM implementation teams
  • Ability to produce architecture documents, reusable processes, standards, and architecture building blocks
  • Ability to translate high-level and detailed design specifications into data requirements
  • Ability to estimate resourcing requirements
  • Ability to make recommendations for data cleansing and standardization
  • Ability to produce data models, metadata, data mappings, and configurations
  • Ability to create data extract, cleansing, and formatting scripts
  • Ability to consult with reporting specialists and optimize data for reporting
  • Ability to assess master data management capabilities and opportunities and implement as required
  • Position Requirements
    10+ Years work experience
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