Data Solutions Architect

1 month ago

Old Toronto, Ontario, Canada Toparo Full time
Job Title: Field Solutions Architect

We are seeking a highly skilled Field Solutions Architect to join our team at Toparo. As a key member of our data solutions team, you will be responsible for designing and delivering comprehensive data solutions using Microsoft Fabric.

Key Responsibilities:
  • Solution Design and Architecture: Design end-to-end data and analytics solutions using Microsoft Fabric, ensuring alignment with client business goals and technical requirements.
  • Technical Leadership: Lead the technical delivery of data projects, guiding development teams in implementing solutions based on the designed architecture.
  • Client Consultation: Engage with clients to gather requirements, provide expert advice, and recommend best practices for leveraging Microsoft Fabric in their data strategy.
  • Data Integration: Architect solutions that integrate data from various sources into Microsoft Fabric, ensuring data quality, consistency, and accessibility.
  • Advanced Analytics: Design and implement advanced analytics solutions, including data warehousing, real-time analytics, and machine learning, using Microsoft Fabric and related Microsoft technologies.
  • Performance Optimization: Optimize data architectures for performance, scalability, and reliability, leveraging Microsoft Fabric's capabilities.
  • Documentation: Create detailed architectural documentation, including technical specifications, data flow diagrams, and implementation guides.
  • Training and Knowledge Sharing: Provide training and mentorship to development teams and clients, ensuring successful adoption and utilization of Microsoft Fabric.
  • Continuous Improvement: Stay current with the latest advancements in Microsoft Fabric and related technologies, continuously enhancing your expertise and the solutions you deliver.
Requirements:
  • Technical Expertise: Extensive experience with Microsoft Fabric, including data integration, automation, analytics, and related Microsoft technologies (e.g., Power BI, Azure Synapse, Azure Data Factory).
  • Architecture and Design: Proven experience designing scalable and efficient data architectures, with a strong understanding of data modelling, ETL processes, and data warehousing.
  • Analytical Skills: Strong ability to analyze complex business requirements and translate them into technical solutions that meet or exceed client expectations.
  • Project Leadership: Experience leading technical teams and managing the delivery of complex data projects from conception to completion.
  • Client Engagement: Excellent communication and interpersonal skills, demonstrated to interact with clients at all levels and provide strategic insights.
  • Problem-Solving: Strong problem-solving skills, with the ability to troubleshoot and resolve issues related to data integration, performance, and scalability.
  • Industry Knowledge: Familiarity with industry best practices in data governance, security, and compliance, particularly in cloud-based data solutions.
Education and Experience:
  • Bachelor's degree: In Computer Science, Information Technology, or a related field (Master's degree preferred).
  • Experience: 5+ years of experience in data architecture, data engineering, or similar roles, with at least 2 years specializing in Microsoft technologies.
  • Client-facing experience: Experience in a client-facing or consulting role, delivering technical solutions to enterprise clients.
  • Certifications: Relevant certifications in Microsoft technologies (e.g., Azure Solutions Architect, Microsoft Certified: Data Analyst Associate) are highly desirable.
Perks and Benefits:
  • Innovative Projects: Work on cutting-edge data projects that push the boundaries of technology and deliver real value to clients.
  • Professional Development: Access to continuous learning opportunities and career advancement in a rapidly evolving field.
  • Collaborative Environment: Join a team of passionate professionals who thrive on solving complex challenges and sharing knowledge.
  • Impactful Work: Make a significant impact by helping clients transform their data into actionable insights that drive their business success.

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