Microsoft Data Solution Architect

Belfast

1 month ago

Applications closed

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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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