Microsoft Data Solution Architect

Belfast
6 days ago
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Microsoft Data Solutions Architect needed for a permanent opportunity for a leading Microsoft Partner.

Key Role Responsibilities

  • Articulate Data Value: Understand and communicate the value data brings to an organization in alignment with business goals.

  • Design and Development Leadership: Lead the design and development of data solutions, including coding, testing, and defect resolution.

  • Hands-on Development: Actively develop components of data solutions.

  • Requirement Identification: Identify and translate functional, technical, and non-functional requirements into user stories for the team.

  • Performance Management: Manage performance, optimize costs, and execute unit and integration testing for data pipelines and reports.

  • Customer and Team Advisory: Advise on effort estimation and technical implications of user stories, manage work breakdown from inception to delivery, and oversee the team's backlog.

  • Customer Relationship Management: Maintain key relationships with decision-makers, including CxOs, throughout project delivery.

  • Industry Trends Awareness: Stay updated on trends in data science and engineering, including techniques, competitors, partners, and technology.

  • Continuous Improvement: Promote best practices and continuous improvement in data solutions.

  • Ability to do a Tender

    Education, Qualifications, and Skills

  • Experience: 5+ years in data roles.

  • Technical Skills:

    • Development experience with Microsoft (Azure) technologies, including Azure Data Factory, Synapse, and Power BI, or relevant ETL tools.

    • Expertise in Microsoft Fabric or Databricks

    • Experience with technology partners or consulting organizations is highly desirable.

    • Leadership experience in technical teams (engineers, analysts, architects) for data-intensive systems.

    • Proficiency in SQL or SQL extensions for analytical use cases.

    • Deep understanding of distributed data stores and data processing frameworks.

    • Ability to communicate technical designs clearly, both written and verbally.

    • Proficiency in designing analytical and operational data models.

    • Background in Data Architecture, Engineering, or Analytics with knowledge of modern enterprise architecture patterns.

    • Proven track record in delivering data-oriented solutions, including data warehousing, operational insight, data management, or business intelligence.

  • Certifications: Azure/Databricks data certifications are desirable.

    If you want the opportunity to take your career to the next level, please apply now

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