Data & Analytics Lead

PBT Group; Cape Town; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

PBT Group is seeking an experienced Data & Analytics Lead / Architect in Cape Town to shape and deliver modern analytics solutions. The role blends strategic architecture with hands-on problem solving, covering data platforms, governance and cloud integration across Azure, AWS and Microsoft Fabric.

You will lead multidisciplinary teams, mentor engineers, and collaborate with senior stakeholders to drive data-driven outcomes for clients, including AI/ML capabilities and data governance practices.

Qualifications

• Relevant tertiary qualification in Computer Science, Information Systems, Data, Engineering or a related field.
• 10+ years’ experience within Data & Analytics, Data Engineering, BI or related technology environments.
• Significant experience in Data Architecture / Solution Architecture.
• Proven experience leading or providing technical direction to Data Engineering and/or Data & Analytics teams.
• Strong understanding of modern data platform architecture.
• Strong Azure experience and exposure to AWS / hybrid-cloud environments.
• Practical experience with or strong knowledge of Microsoft Fabric.
• Strong understanding of Data Engineering principles and modern data architectures.
• Good understanding of Application Architecture and how application and data platforms integrate.
• Experience working with Data Science / AI teams and understanding their data requirements.
• Exposure to Generative AI and emerging AI technologies.
• Strong communication, stakeholder management and consulting skills.
• Experience working in a consulting environment would be advantageous.

Responsibilities

• Define and drive Data & Analytics strategies, architectures and implementation roadmaps.
• Provide technical leadership across Data Engineering, Data Science, BI and supporting IT teams.
• Lead and mentor technical resources, promoting engineering and architecture best practices.
• Design and govern modern data platforms, data warehouses, data lakes and analytics environments.
• Provide architectural guidance across cloud and hybrid-cloud environments, with exposure to Azure and AWS.
• Lead adoption and implementation of Microsoft Fabric and other modern Data & Analytics technologies.
• Provide technical direction on data ingestion, integration, transformation, orchestration and data pipelines.
• Define and maintain data modelling, data architecture, data governance and data quality standards.
• Collaborate with Application Architects and development teams to ensure integration between data and applications.
• Evaluate existing tech environments and recommend modernisation and migration strategies.
• Provide architectural input into cloud migration and hybrid on-premise/cloud solutions.
• Work closely with Data Scientists to enable scalable data and AI/ML solutions.
• Support the adoption of Generative AI and AI-enabled Data & Analytics solutions, identifying opportunities for business use.
• Assess emerging technologies and provide recommendations for client environments.
• Drive proof-of-concepts and technical evaluations where required.
• Establish and improve technical ways of working, development standards and architectural governance.
• Participate in technical pre-sales, solution estimation and client engagements where required.
• Communicate complex technical concepts to both technical and non-technical stakeholders.

Skills

Data Architecture

Solution Architecture

Azure

AWS

Data Engineering

Data Science

BI

Microsoft Fabric

Generative AI

Education

Relevant tertiary qualification in Computer Science, Information Systems, Data, Engineering or a related field

Tools

Azure

AWS

Microsoft Fabric

Job description

Data & Analytics Lead / Architect required in Cape Town.

PBT Group is looking for an experienced Data & Analytics Lead / Architect to join our consulting team and play a key role in shaping and delivering modern Data & Analytics solutions for our clients.

This is a senior, hands-on leadership role suited to an individual who can operate across Data Architecture, Data Engineering, Data Science and Application Architecture, while providing technical direction and leadership across multiple teams and stakeholders.

The Role:

The successful candidate will be responsible for defining and driving Data & Analytics architecture, strategy and delivery, ensuring that data platforms and solutions are scalable, secure, governed and aligned to business objectives.

The role will involve working across multiple technical disciplines, providing architectural direction to Data Engineering, Data Science, BI and broader IT teams, while also engaging with senior business and technology stakeholders.

The ideal candidate will be comfortable moving between strategic architecture and hands-on technical problem solving, with a strong understanding of modern cloud and data platforms.

Key Responsibilities:

• Define and drive Data & Analytics strategies, architectures and implementation roadmaps.
• Provide technical leadership across Data Engineering, Data Science, BI and supporting IT teams.
• Lead and mentor technical resources, promoting engineering and architecture best practices.
• Design and govern modern data platforms, data warehouses, data lakes and analytics environments.
• Provide architectural guidance across cloud and hybrid-cloud environments, with particular exposure to Azure and AWS.
• Lead the adoption and implementation of Microsoft Fabric and other modern Data & Analytics technologies.
• Provide technical direction on data ingestion, integration, transformation, orchestration and data pipelines.
• Define and maintain data modelling, data architecture, data governance and data quality standards.
• Collaborate with Application Architects and development teams to ensure appropriate integration between application and data architectures.
• Evaluate existing technology environments and recommend appropriate modernisation and migration strategies.
• Provide architectural input into cloud migration and hybrid on-premise/cloud solutions.
• Work closely with Data Scientists to enable scalable data and AI/ML solutions.
• Support the adoption of Generative AI and AI-enabled Data & Analytics solutions, identifying practical opportunities for business application.
• Assess emerging technologies and provide recommendations on their applicability within client environments.
• Drive proof-of-concepts and technical evaluations where required.
• Establish and improve technical ways of working, development standards and architectural governance.
• Participate in technical pre-sales, solution estimation and client engagements where required.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Requirements:

• Relevant tertiary qualification in Computer Science, Information Systems, Data, Engineering or a related field.
• 10+ years’ experience within Data & Analytics, Data Engineering, BI or related technology environments.
• Significant experience in Data Architecture / Solution Architecture.
• Proven experience leading or providing technical direction to Data Engineering and/or Data & Analytics teams.
• Strong understanding of modern data platform architecture.
• Strong Azure experience and exposure to AWS / hybrid-cloud environments.
• Practical experience with or strong knowledge of Microsoft Fabric.
• Strong understanding of Data Engineering principles and modern data architectures.
• Good understanding of Application Architecture and how application and data platforms integrate.
• Experience working with Data Science / AI teams and understanding their data requirements.
• Exposure to Generative AI and emerging AI technologies.
• Strong communication, stakeholder management and consulting skills.
• Experience working in a consulting environment would be advantageous.

Advantageous Experience:

• Microsoft Fabric implementation or migration experience.
• Azure and AWS architecture experience.
• Lakehouse architecture.
• Enterprise Data Warehouse modernisation.
• Cloud migration strategy and implementation.
• Data Governance and Data Management frameworks.
• Data Science platform architecture.
• Generative AI / LLM implementations.
• Application and Integration Architecture.
• Technical pre-sales and solution design.
• Experience leading multi-disciplinary technical teams.

What We’re Looking For:

We are looking for someone who can connect the dots across the broader technology landscape rather than operating solely within a Data Architecture function.

You should be comfortable discussing architecture with an Enterprise/Application Architect, working through technical delivery with Data Engineers, understanding the requirements of Data Scientists, engaging with senior business stakeholders and getting sufficiently hands-on to guide teams through complex technical challenges.

This is an opportunity for a senior Data & Analytics technology leader who wants to influence strategy, architecture and delivery while remaining close to the technology.