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Lead Data Architect

Lead Data Architect

Open Box SoftwareCape Town, Western Cape, South Africa
30+ days ago
Job description

Overview

Lead Data Architect at Open Box Software. We are looking for a data-focused leader who can shape strategic, enterprise-scale data solutions and lead technical engagements that deliver high-impact results. If you enjoy translating complex requirements into powerful architectures, working with cloud-native technologies, and mentoring teams to deliver high-quality data solutions, we’d love to hear from you.

This role involves guiding client engagements, defining data landscapes, ensuring high-quality technical delivery, and supporting our international clients with innovative data architectures.

Responsibilities

  • Architectural Design & Implementation : Design, propose, and oversee the implementation of enterprise-level data architectures, including data warehouses (Kimball methodologies), data lakes (Medallion architecture), data governance processes, master data solutions and modern data platforms (Azure, Microsoft Fabric).
  • Technical Leadership & Guidance : Provide senior technical guidance to implementation teams, ensuring adherence to best practices, high-quality code, and scalable solutions.
  • Technical Estimation & Scoping : Develop accurate and detailed proposal documents of varying complexity along with the requisite accurate effort estimations for technical delivery.
  • Documentation & Visualization : Create clear, comprehensive, and high-quality architectural diagrams, technical specifications, and discovery workshop documentation. Develop consistency within this arena to streamline service offerings and provide an exceptional client experience.
  • Technology Evaluation & Recommendation : Research, evaluate, and recommend cutting-edge data technologies and tools to enhance our service offerings and client solutions.
  • Quality Assurance : Champion a culture of high-quality technical delivery to ensure robust and maintainable data solutions.
  • Innovation : Actively seek out-of-the-box solutions and creative approaches to complex data challenges, fostering a forward-thinking technical environment.
  • Meaningful Client Engagements : Engage with clients and build meaningful relationships to support the sales process as well as successfully eliciting requirements for varying client needs.
  • Strategic Vision : Consult with clients at a strategic level to develop an enterprise roadmap while incorporating technical architecture to support varying outcomes.

Experience

  • Minimum of 3 - 5 years of hands-on experience in data architecture
  • 5 – 8 years solid experience in data and analytics, data modelling, data engineering, reporting, data management and data governance
  • Proven consulting experience of between 2 – 4 years delivering commercial proposals covering simple through to complex client requirements and project sizes
  • A strong portfolio of successfully delivered enterprise-level data solutions
  • Technical Acumen

  • Deep expertise in Data Warehousing (Kimball Methodology) and Data Lake (Medallion Architecture) principles and implementation.
  • Extensive practical experience with Azure data services and Microsoft Fabric.
  • Proficiency in designing and implementing complex data pipelines and ETL / ELT processes.
  • Strong understanding of data governance, security, and compliance best practices.
  • Analytical & Problem-Solving Skills

  • Exceptional analytical skills with a proven ability to think creatively and solve complex technical problems.
  • Attention to Detail

  • Meticulous attention to detail in design, client presentations, documentation, and implementation.
  • Communication

  • Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly to technical and non-technical audiences.
  • Team Success

  • Values team-based delivery through working well with different stakeholders both internally and externally.
  • Creativity

  • Can generate new content for client facing presentations of a high standard that encourage meaningful client engagements and support sales-related activities.
  • Preferred Qualifications

  • A Bachelor’s degree in Computer Science or Engineering or equivalent
  • Relevant industry certifications (e.g., Microsoft Certified : Azure Solutions Architect Expert, Azure Data Engineer Associate)
  • Experience with other cloud platforms (AWS, GCP) is a plus
  • Familiarity with DataOps and MLOps principles is a plus
  • CDMP Master or Practitioner is a plus
  • Personal Traits

  • Friendly and humble
  • Conscientious
  • Empathetic and self-aware
  • Considerate
  • Self-motivated
  • Strong work ethic
  • Sound decision-making ability
  • Team player
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