Microsoft Data Solution Architect

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