Enterprise Data Architect

We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be.

Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward.

We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health?

There’s only one question left: are you ready to make healthcare smarter, and actually mean it?

We are seeking a Data Enterprise Architect to lead the advisory, design, governance, and evolution of enterprise-wide data architecture that supports strategic decision-making, advanced analytics, and AI initiatives.

The Enterprise Data Architect will apply TOGAF and DAMA-DMBOK principles to establish technical data authority and implement modern and robust architectural design and principles to ensure data is well-managed, secure, and fit for purpose. This role will provide architectural input into the development of scalable data platforms and enable digital capabilities across the organisation.

WHAT WE'RE LOOKING FOR?

Minimum

• Bachelor’s degree: Computer Science, Information Systems, Data Engineering, or related field.
• 8+ years of experience in data architecture, data engineering, or enterprise data management.
• Certification in cloud platform: AWS, Azure Data Engineer (DP-203/DP-700), or Databricks Certified Data Engineer.
• Certification or Strong Working Knowledge in TOGAF 10 architecture framework.
• Proven experience designing and governing enterprise data architecture and applying DAMA principles.
• Demonstrated ability to implement modern architectural design and principles in big data environments
• Experience contributing to or guiding application/system development, procurement, and integration in data ecosystems
• Strong background in contributing to scalable data platforms that support data science and AI workloads.
• Deep understanding of data modelling, metadata management, data governance, and distributed systems.
• Experience with cloud-native data services (e.g., Azure Synapse, AWS Redshift, GCP BigQuery).
• Familiarity with cloud-native data integration tools (e.g., SAP Business Data Cloud, DataBricks, Snowflake Airflow).
• Familiarity with data privacy regulations (e.g., POPIA, GDPR) and compliance frameworks.

Advantageous

• Master’s degree in Data Architecture, Big Data Analytics, or Artificial Intelligence.
• Certification in DAMA-DMBOK (e.g., CDMP – Certified Data Management Professional).
• Certification in AI or Machine Learning (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty).
• Experience in healthcare, retail, or insurance data ecosystems

WHAT YOU WILL BE DOING?

• Design enterprise-wide data architecture using DAMA principles and modern design patterns to ensure scalability, flexibility, and alignment with business needs.
• Develop architectural blueprints and reference models by applying best practices and industry standards to guide platform evolution and integration.
• Guide the development of data-related applications and systems by defining architectural standards and reviewing solution designs to ensure alignment with enterprise data strategy.
• Establish metadata standards using DAMA-DMBOK frameworks and automated tools to ensure data quality, lineage, and compliance.
• Document architecture decisions, data flows, and standards using version-controlled repositories and collaborative platforms to support transparency and maintainability.

WHO YOU ARE?

• Deep understanding of data management disciplines including data governance, data quality, metadata, master data, and data security, as defined by the DAMA framework.
• Strong capability in designing data flows and integration patterns across heterogeneous systems using APIs, ETL/ELT, and streaming technologies.
• Ability to align data architecture decisions with long-term business goals and evolving technology landscapes.
• Ability to build consensus and influence decision-making across business, IT, and data teams.
• Ensures that data architecture integrates seamlessly with application, infrastructure, and security architectures.
• Brings strong problem-solving skills, flexibility, and resilience, coupled with a learning and growth mindset, to thrive in an agile, high-growth environment.

Our values show up in how we think, build, and make choices that make an impact. We are building a culture that drives progress; one that fixes friction, chases what changes, and owns the outcome. We design with tomorrow in mind, ask sharper questions, and answer them with care, urgency, and systems that scale.

Think you’ve got energy, curiosity, and guts? Come hold the space, make it matter, and own a breakthrough.