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SAP BDC / Datasphere Consultant

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

SAP BDC / Datasphere Consultant

Job Overview

We are looking for an experienced SAP BDC / Datasphere Consultant with strong expertise in SAP data and analytics platforms. The ideal candidate will have hands-on experience with SAP Business Data Cloud (BDC), SAP Datasphere, SAP Analytics Cloud (SAC), SAP HANA,

This role will focus on designing scalable data architectures, building analytics solutions, integrating SAP and non-SAP systems, and delivering enterprise reporting platforms that support business decision-making.

Key Responsibilities

  • Design and develop data architecture and data models in SAP Business Data Cloud (BDC) and SAP Datasphere.
  • Build and manage data pipelines, data flows, and integrations between SAP and non-SAP systems.
  • Develop analytical models using SAP Analytics Cloud (SAC).
  • Implement data integration solutions connecting SAP Datasphere with SAP BW, SAP HANA, Snowflake, and external data platforms.
  • Develop enterprise reporting solutions, dashboards, and analytics models for business stakeholders.
  • Implement data ingestion, transformation, and harmonization processes across multiple data sources.
  • Work closely with business teams, data engineers, and solution architects to gather requirements and deliver scalable solutions.
  • Apply best practices in data governance, security, performance optimization, and data quality management.
  • Support troubleshooting, performance tuning, and platform optimization.

Required Technical Skills

  • Strong knowledge of SAP Business Data Cloud (BDC) architecture and components.
  • Hands-on experience with SAP Datasphere (Data Modeling, Data Flows, Data Virtualization).
  • Experience with SAP Analytics Cloud (SAC) for reporting, dashboards.
  • Strong experience with SAP HANA for data warehousing and data modeling.
  • Experience integrating SAP BW/HANA and SAP Datasphere.
  • Hands-on exposure to Snowflake for data processing and analytics.
  • Strong SQL skills and data modeling expertise.
  • Knowledge of modern data warehouse architecture and analytics platforms.

Nice to Have Skills

  • Experience with SAP Business Technology Platform (BTP).
  • Experience with cloud data platforms and hybrid data architectures.
  • Knowledge of data governance and enterprise data management frameworks.
  • Experience with data lake or Lakehouse architecture.
More about this job

Responsibilities

Design scalable data architectures and models using SAP Business Data Cloud and SAP Datasphere, and build integrations and pipelines across SAP and non-SAP platforms. Develop analytics and enterprise reporting solutions, while supporting data governance, quality, security, troubleshooting, and performance optimization.

Requirements

Candidates should have strong hands-on experience with SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud, SAP HANA, and SAP BW/HANA integration, along with Snowflake exposure. Strong SQL and data modeling skills, plus knowledge of modern data warehouse and analytics platforms, are required.

Skills

  • SAP Business Data Cloud
  • SAP Datasphere
  • SAP Analytics Cloud
  • SAP HANA
  • SAP BW
  • Snowflake
  • SQL
  • Data Modeling
  • Data Architecture
  • Data Integration
  • Data Pipelines
  • Data Virtualization
  • Enterprise Reporting
  • Data Governance
  • Performance Optimization
  • Data Quality Management

Visa sponsorship

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Categories

  • Data & Analytics
  • Technology
  • Software
  • Consulting

Keywords

  • SAP Business Data Cloud
  • SAP Datasphere
  • SAP Analytics Cloud
  • SAP HANA
  • SAP BW
  • Snowflake
  • SQL
  • Data Architecture
  • Data Modeling
  • Data Pipelines
  • Data Flows
  • Data Virtualization
  • Data Integration
  • Data Ingestion
  • Data Transformation
  • Data Harmonization
  • Enterprise Reporting
  • Dashboards
  • Analytics Models
  • Data Warehousing
  • Data Governance
  • Data Security
  • Performance Optimization
  • Data Quality Management
  • SAP Business Technology Platform
  • Cloud Data Platforms
  • Hybrid Data Architectures
  • Data Lake
  • Lakehouse Architecture

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