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Enterprise Data Architect

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Job

  • Level
    Lead
  • Job Feld
    BI, Back End
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Mannheim
  • Arbeitsmodell
    Onsite
  • Job Zusammenfassung

    In dieser Rolle entwirfst du skalierbare Datenarchitekturen für die Datenmigration und Transformation, arbeitest eng mit SAP-Systemen und modernen Cloud-Plattformen wie Azure und Snowflake zusammen und stellst die Datenqualität und -governance sicher.

    Job Technologien

    Deine Rolle im Team

    • As an EY Enterprise Data Architect within the EY SAP Enterprise Data Management Initiative, you will lead the definition, design, and execution of scalable data architecture strategies to support enterprise-wide data migration and transformation programs.
    • This role ensures data integrity, consistency, scalability, and alignment with the organization's enterprise data standards, while enabling long-term data governance.
    • As part of this role, you will work closely with a high-performing team that is building a modern, enterprise-grade data platform using products from leading providers such as Microsoft, Nvidia, Databricks, Snowflake, AWS, and Google.
    • You will ensure that platform-level design decisions align with EY's enterprise strategy while enabling seamless integration between SAP and modern cloud ecosystems.
    • You will collaborate with technical, functional, and business teams to design optimal data models, flows, and frameworks that support SAP BDC processes and accelerate digital transformation.
    • Lead the end-to-end data architecture strategy across SAP BDC initiatives, including data modeling, transformation, and governance.
    • Define target and transition architectures for both SAP and non-SAP data domains, integrating with modern platforms such as Azure, AWS, Snowflake, and Databricks.
    • Ensure data platform alignment with architectural principles across hybrid cloud environments, leveraging third-party tools from Microsoft, Nvidia, Google, and others.
    • Design and validate data flows, lineage, and integration points between legacy systems, SAP S/4HANA, and cloud-based platforms.
    • Collaborate with migration teams to drive effective ETL/ELT strategy and data quality frameworks, ensuring consistency across enterprise systems.
    • Identify and mitigate data risks, including data duplication, data loss, latency, or security compliance gaps.
    • Guide tool selection, integration architecture, and usage of cloud-native services (e.g., Azure Data Factory, BigQuery, Snowpark, Databricks notebooks) to support data lifecycle processes.
    • Establish architecture principles for data cataloging, metadata management, lineage tracking, and access control.
    • Partner with enterprise architecture, SAP consultants, and delivery teams to define data standards and governance models.
    • Provide oversight to ensure data platform scalability, including handling structured, semi-structured, and unstructured data across various ingestion pipelines.
    • Review technical deliverables and mentor teams on best practices in data architecture and integration design.

    Unsere Erwartungen an dich

    Qualifikationen

    • Strong background in enterprise data architecture and SAP data management (SAP BDC, SAP ECC, S/4HANA, MDG, BW/4HANA).
    • Proficiency in data modeling (conceptual, logical, physical), data governance, and metadata management.
    • Knowledge of data migration tools such as SAP BODS, LSMW, IDocs, or CPI.
    • Solid understanding of data privacy and compliance standards (GDPR, HIPAA, etc.).
    • Strong leadership, stakeholder management, and cross-functional collaboration skills.
    • Familiarity with architecture frameworks such as TOGAF or DAMA-DMBOK.
    • Certifications in cloud platforms, TOGAF, or SAP data technologies are a plus.
    • Exposure to Agile delivery and DevOps concepts is desirable.
    • Ability to travel (international/domestic) based on project needs.
    • BS/MS in Computer Science, Information Systems, Data Engineering, or a related field.

    Erfahrung

    • Experience working with cloud providers and platforms: Databricks, Snowflake, Microsoft Azure, AWS, Google Cloud, Nvidia RAPIDS.
    • Experience designing and governing large-scale data migration and transformation initiatives.
    • Strong experience in offshore/onsite working model and working with global teams.
    • 12-15+ years of experience in enterprise data architecture, with at least 7 years in SAP and related data transformation environments.

    Unser Angebot

    • At EY, we'll develop you with future-focused skills and equip you with world-class experiences.
    • We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

    Benefits

    Work-Life-Integration

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Mannheim

      Baden-Württemberg

      Deutschland

    Das ist dein Arbeitgeber

    Ernst & Young GmbH

    Ernst & Young GmbH

    Wir wollen die Wirtschaftswelt von morgen mithilfe innovativer Dienstleistungen positiv verändern. Dafür setzen sich täglich unsere 10.000 Mitarbeiter an 20 Standorten in Deutschland ein. Unsere Mandanten begleiten wir dabei auf dem Weg in die Zukunft - sei es in der Wirtschaftsprüfung, Steuerberatung, Transaktions- oder Managementberatung.

    Description

  • Unternehmensgröße
    250+ Employees
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Recht, Steuern, Wirtschaft
  • Arbeitgeber-Reviews

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    Gesamt

    (1 Bewertung)
    3.2
    • Engineering

      2.5
    • Workingconditions

      3.8
    • Culture

      3.5
    • Career Growth

      3.3
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    Logo Ernst & Young GmbH

    Enterprise Data Architect

    Ort
    Mannheim
    Arbeitsmodell
    Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Nur Englisch
    Nur Englisch erforderlich

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