SAP Analytics & Data Architect

Atos Nederland B.V.
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
Dutch, English
Experience level
Senior

Job location

Remote

Tech stack

SAP Cloud
Business Analytics Applications
Data analysis
Cloud Computing
Data Architecture
Data Governance
Data Migration
Information Lifecycle Management
Information Management
Meta-Data Management
SAP Applications
SAP Business Suiteing
SAP NetWeaver Business Warehouse
SAP HANA
SAP Project System
Enterprise Data Management
Information Technology
SAP MDG
Data Management

Job description

  • Define and maintain the enterprise data and analytics architecture using SAP technologies.
  • Develop roadmaps for SAP Business Data Cloud, SAP Analytics Cloud (SAC), SAP Datasphere, SAP BW, and related technologies aligned with business goals.
  • Ensure alignment with data governance, security, and compliance standards.
  • Lead the design and implementation of analytics solutions using SAP Business Data Cloud, SAP Analytics Cloud (SAC), SAP Datasphere, SAP BW, and related technologies.
  • Guide the use of SAP MDG and SAP ILM for master data and information lifecycle management.
  • Design and execute data migration strategies for SAP and non-SAP systems.
  • Collaborate with business and IT teams to define data ownership and stewardship models.
  • Act as a trusted advisor to business and IT stakeholders.
  • Lead cross-functional teams and mentor junior architects and consultants.
  • Promote best practices in data architecture, analytics, and data lifecycle management.

Requirements

  • Hold a bachelor's or master's degree in fields like engineering, computer sciences, or information management, displaying your dedication to knowledge.
  • Minimum of 8 years experience in SAP Analytics, Data and Architecture.
  • Extensive experience with SAP Business Data Cloud, SAP Analytics Cloud (SAC), SAP Datasphere, SAP BW/4HANA, and SAP HANA.
  • Strong knowledge of SAP MDG, SAP ILM, and enterprise data management principles.
  • Proven track record in designing and implementing large-scale data migration projects.
  • Deep understanding of data governance, data quality, and metadata management.
  • Excellent communication, leadership, and stakeholder management skills.
  • Communicate fluently in Dutch and English, crafting compelling narratives that bridge understanding.

Benefits & conditions

  • A competitive salary with additional benefits.
  • 29 days of annual leave, plus the option to earn extra days for recuperation.
  • Holiday allowance (8%) and year-end allowance (13th month).
  • Flexible working hours with the possibility of remote work where applicable.
  • A stakeholder pension scheme and income protection plan.
  • A flexible benefits system - choose what works best for you.
  • Access to extensive training platforms to support continuous learning.
  • Exciting career opportunities both locally and internationally.

About the company

Atos is a global leader in secure and sustainable digital transformation, with annual revenue of around €11 billion and 95,000 employees in over 69 countries. We deliver tailored end-to-end solutions across cloud, cybersecurity, digital workplace, and enterprise applications. By combining deep industry expertise with cutting-edge technologies, we support clients in accelerating their digital journeys and shaping a sustainable future. What impact you can make Are you a dynamic and enthusiastic SAP Analytics & Data Architect ready to become a trusted advisor for our clients? If you are passionate about translating business requirements into innovative digital solutions, this role is for you. You will be responsible for shaping and leading the data and analytics architecture across the SAP landscape. This includes designing and implementing scalable, secure, and high-performing solutions using SAP Business Data Cloud, SAP Analytics Cloud (SAC), SAP Datasphere, SAP BW, and related technologies. Your role will also drive data governance, migration, and master data strategies to enable data-driven decision-making across organizations.

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