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Open Box Software is seeking a Lead Data Architect to drive the design and implementation of robust data solutions for our clients. This role requires a blend of technical expertise in data architecture and leadership skills, focusing on delivering high-quality results and fostering collaboration within teams while engaging with clients at a strategic level.
Lead 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 Lead 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 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.
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 and 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