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
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.