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Data Architect - Fabric

Job in London, Ontario, Canada
Listing for: TechioSoft Systems
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below

Role Summary – Data Fabric Consultant / Subject Matter Expert (SME)

Brick Red Systems is seeking a highly experienced Data Fabric Consultant / SME to lead enterprise data modernization initiatives. This role will serve as a strategic advisor to clients, defining and implementing data fabric architectures that unify distributed data environments and enable real-time, intelligent decision-making.

You will work closely with business stakeholders, data teams, and executive leadership to drive end-to-end data strategy, architecture, and execution .

Key Responsibilities

  • Act as a trusted advisor to clients on data fabric strategy, architecture, and implementation
  • Design and lead enterprise-scale data fabric solutions across hybrid and multi-cloud environments
  • Define data integration, governance, and metadata management frameworks
  • Enable data virtualization and seamless data access across disparate systems
  • Drive adoption of real-time data processing and event-driven architectures
  • Collaborate with business leaders to align data strategy with business outcomes
  • Lead technical workshops, architecture reviews, and stakeholder presentations
  • Mentor internal teams and guide best practices in modern data engineering and architecture
  • Evaluate and recommend tools and platforms across Azure, AWS, and GCP ecosystems

Required Technical Skills

  • 10+ years of experience in data architecture, data engineering, or consulting roles
  • Deep expertise in data fabric concepts , data mesh (nice-to-have), and modern data platforms
  • Strong experience with Azure (Synapse, Data Factory, Purview), AWS (Glue, Lake Formation), or GCP (Big Query, Dataflow)
  • Proficiency in data integration, ETL/ELT, and orchestration tools
  • Experience with streaming technologies (Kafka, Spark Streaming, Flink)
  • Knowledge of data governance, lineage, cataloging, and compliance frameworks
  • Strong programming skills in Python and SQL
  • Familiarity with API-led integration, microservices, and distributed systems
  • Excellent communication and stakeholder management skills

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