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Senior SAP Data Integration & Solution Architect

  • Toronto, ON, Canada
  • Greater Toronto Area, Canada, Canada

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Job details

Job type
Contract
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Experience
10+ years of experience in enterprise data integration, architecture, or related technical roles.
Posting language
English
Posted

Original job description

Senior SAP Data Integration & Solution Architect

Location: Toronto, Mississauga, Richmond Hill, or Waterloo, ON

Work Arrangement: Onsite, 5 days/week

Employment Type: Contract

Duration: Long-term contract starts as 6 months, with potential extensions

About the Role

We are seeking a Senior SAP Data Integration & Solution Architect to lead technical discovery, assess existing SAP environments, and design enterprise data integration solutions connecting SAP systems with modern cloud data platforms, including Microsoft Fabric.

The ideal candidate will have strong hands-on expertise in SAP BW, SAP BODS, and enterprise data architecture, along with the ability to independently drive architectural assessments and solution design.

Key Responsibilities

  • Assess existing SAP BW/BW4HANA, SAP HANA, SAP ERP, and data integration environments.
  • Analyze SAP data extraction methods, BODS integrations, data flows, and dependencies.
  • Lead technical discovery sessions with SAP architects, business stakeholders, and enterprise Data teams.
  • Design scalable SAP data integration solutions for Microsoft Fabric and other cloud platforms.
  • Evaluate ETL/ELT, replication, virtualization, and API-based integration approaches.
  • Develop current-state and target-state architecture diagrams, technical designs, and implementation recommendations.
  • Identify integration challenges, technical risks, and modernization opportunities.

Required Skills:

  • 10+ years of experience in enterprise data integration, architecture, or related technical roles.
  • Strong experience with SAP BW/BW4HANA, SAP HANA, and SAP BODS (BusinessObjects Data Services).
  • Expertise in SAP data extraction, ETL/ELT, data warehousing, and integration architecture.
  • Proven experience in technical discovery, architecture assessments, and solution design.
  • Strong SQL, data modelling, data transformation, and data quality knowledge.
  • Experience integrating SAP with cloud-based enterprise data platforms.
  • Excellent stakeholder management, documentation, and communication skills.

Nice to Have:

  • Microsoft Fabric (OneLake, Lakehouse, Data Factory).
  • Azure Data Services and Power BI.
  • SAP Datasphere, ODP, Open ODS Views, or HANA Smart Data Access.
  • SAP financial data integration and reporting experience.
  • TOGAF or equivalent architecture certification.
More about this job

Responsibilities

Assess existing SAP environments, data extraction methods, integrations, data flows, and dependencies, and lead technical discovery with architects, business stakeholders, and enterprise data teams. Design scalable SAP integrations for Microsoft Fabric and other cloud platforms, evaluate integration approaches, and deliver architecture diagrams, technical designs, recommendations, and risk assessments.

Requirements

Requires 10+ years of experience in enterprise data integration, architecture, or a related technical role, with strong expertise in SAP BW/BW4HANA, SAP HANA, SAP BODS, and SAP data extraction. Candidates should also have experience in architecture assessments and solution design, strong SQL and data modeling knowledge, cloud platform integration experience, and excellent communication and documentation skills.

Skills

  • SAP BW/BW4HANA
  • SAP HANA
  • SAP BODS
  • Enterprise Data Integration
  • Data Architecture
  • SAP Data Extraction
  • ETL/ELT
  • Data Warehousing
  • Microsoft Fabric
  • SQL
  • Data Modeling
  • Data Transformation
  • Data Quality
  • Cloud Data Platforms
  • Technical Discovery
  • Stakeholder Management

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Consulting
  • Management & Leadership

Keywords

  • SAP BW
  • SAP BW/4HANA
  • SAP HANA
  • SAP ERP
  • SAP BODS
  • Microsoft Fabric
  • OneLake
  • Lakehouse
  • Data Factory
  • Azure Data Services
  • Power BI
  • SAP Datasphere
  • ODP
  • Open ODS Views
  • HANA Smart Data Access
  • Enterprise Data Architecture
  • Data Integration
  • ETL/ELT
  • Data Extraction
  • Data Warehousing
  • SQL
  • Data Modeling
  • Data Transformation
  • Data Quality
  • Data Replication
  • Data Virtualization
  • API-Based Integration
  • Technical Discovery
  • Architecture Assessment
  • TOGAF

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