Data Architect - United Kingdom - Quantum World Technologies Inc.

    Quantum World Technologies Inc.
    Quantum World Technologies Inc. United Kingdom

    3 weeks ago

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    Description


    Job Title – Data Solution Architect - SAP S4 HANALocation – Macclesfield, UK (Charter Way, Macclesfield SK10 2NA, United Kingdom)Role Type- Contract (Inside IR35)Work Model - HybridSkills – SAP S4 HANA, Implementation, (Financial domain)Job Description – We are seeking a talented and experienced Data Solution Architect with specialized knowledge in the Finance domain and expertise in SAP S4 HANA.

    The ideal candidate will be responsible for designing, implementing, and managing data solutions tailored to the unique requirements of our Finance operations.

    This role requires a deep understanding of financial systems, data architecture principles, and hands-on experience with SAP HANA.


    Key Responsibilities:
    Collaborate with stakeholders to understand business requirements and translate them into effective data solutions within the Finance domain.
    Design end-to-end data architectures that support financial reporting, analytics, and business intelligence initiatives.
    Evaluate existing data infrastructure and recommend enhancements or optimizations to improve performance, scalability, and reliability.
    Develop data models, schemas, and frameworks optimized for Finance-specific use cases and requirements.

    Lead the implementation of data solutions, working closely with development teams, data engineers, and other stakeholders to ensure successful delivery.

    Provide technical guidance and expertise on SAP HANA, including data modeling, data provisioning, and performance tuning.

    Stay abreast of emerging technologies, trends, and best practices in data management and Finance to drive innovation and continuous improvement.

    Collaborate with cross-functional teams to integrate data solutions with existing systems, applications, and processes.
    Conduct workshops, training sessions, and knowledge sharing activities to promote data literacy and adoption across the organization.