This is your opportunity to join a collaborative and high-performing team that values technical excellence, personal growth, and creating genuine impact for our international clients.
Job Summary
We are seeking a highly experienced and meticulous Lead Data Architect to spearhead client strategic engagement, design, proposal, and implementation of robust and scalable data solutions for our diverse client base. This role requires a blend of deep technical expertise in data architecture, a keen eye for detail, and an innovative approach to problem-solving. The Lead Data Architect will be instrumental in defining our data landscape, ensuring high-quality technical delivery, and guiding our engineering efforts.
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 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 and that encourage meaningful client engagements and support sales related activities.
- A Bachelors 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.
- Friendly and humble
- Conscientious
- Empathetic and self-aware
- Considerate
- Self-motivated
- Strong work ethic
- Sound decision-making ability
- Team player
