Data Architect

Job Summary

We are seeking a highly experienced and meticulous Data Architect to spearhead client strategic engagement, design, proposal, and implementation of robust and scalable data solutions for our diverse client base.

• 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 requirements based on client needs.
• Strategic Vision:
  Capacity to consult with clients at a strategic level to develop an enterprise roadmap whilst incorporating technical architecture to support varying outcomes.

• 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.

• 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.
• Exceptional analytical skills with a proven ability to think creatively and solve complex technical problems.
• Meticulous attention to detail in design, client presentations, documentation, and implementation.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly to technical and non-technical audiences.
• Values team-based delivery through working well with different stakeholders both internally and externally.
• Can generate new content for client‑facing presentations of a high standard that encourage meaningful client engagements and support sales-related activities.

• 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 Data Ops and MLOps principles is a plus.
• CDMP Master or Practitioner is a plus.