Data Architect

At Open Box Software, we don’t just deliver software, we help businesses unlock the power of data to drive smarter decisions. We’re looking for a Data Architect to shape strategic, enterprise-scale data solutions and lead technical engagements that make a real difference. If you enjoy translating complex requirements into powerful architectures, love working with cloud-native technologies, and want to mentor and lead teams in delivering high-impact solutions, we’d love to hear from you.

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 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

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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).

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Technical Leadership & Guidance: Provide senior technical guidance to implementation teams, ensuring adherence to best practices, high-quality code, and scalable solutions.

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Technical Estimation & Scoping: Develop accurate and detailed proposal documents of varying complexity along with the requisite accurate effort estimations for technical delivery.

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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.

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Technology Evaluation & Recommendation: Research, evaluate, and recommend cutting-edge data technologies and tools to enhance our service offerings and client solutions.

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Quality Assurance: Champion a culture of high-quality technical delivery to ensure robust and maintainable data solutions.

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Innovation: Actively seek out-of-the-box solutions and creative approaches to complex data challenges, fostering a forward-thinking technical environment.

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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.

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