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Solution Architect: Data Analytics

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Vodafone

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Location:
South Africa , Cape Town

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As the recognized authority in data and analytics architecture, the Solution Architect provides strategic guidance and technical leadership in the design, development, and implementation of enterprise-wide data and analytical solutions. This role is pivotal in translating complex business requirements into scalable, secure, and high-performing data architectures that enable advanced analytics, data-driven decision-making, and digital transformation.

Job Responsibility:

  • Enterprise Data Strategy Alignment – Ensure all data and analytics architecture designs align with the organisation’s enterprise architecture principles, business strategies, and technology roadmap
  • Solution Design Leadership – Lead end‑to‑end design of scalable, secure, and high‑performance data platforms, including data warehouses, data lakes, streaming pipelines, and analytics platforms
  • Stakeholder Collaboration – Partner with business, IT, and analytics leaders to translate complex business requirements into technical architectures and implementation roadmaps
  • Technology Evaluation & Selection – Assess, recommend, and govern the adoption of data management, integration, and analytics technologies based on business needs, scalability, and total cost of ownership
  • Standards & Best Practices – Define and enforce architectural standards, frameworks, and patterns for data modelling, governance, and security
  • Data Governance Enablement – Support and embed data governance policies for data quality, lineage, stewardship, privacy, and compliance with relevant regulations (e.g., GDPR, POPIA)
  • Solution Delivery Oversight – Provide architectural guidance throughout the project lifecycle — from proof‑of‑concept to production — ensuring solutions meet non‑functional requirements (performance, reliability, scalability)
  • Risk & Issue Management – Identify technical risks, develop mitigation plans, and proactively address architectural challenges
  • Thought Leadership – Keep abreast of emerging trends in data architecture, analytics, cloud, and AI, and translate these into actionable innovation opportunities

Requirements:

  • Degree in Information Systems / BSc Computer Science / BSc engineering (or similar tertiary qualifications)
  • 5+ years in data warehousing, ETL integration
  • 7+ years’ experience with all aspects of IT projects from business analysis, architectures, system analysis and design through development, testing, implementation, and production support (SDLC)
  • 2+ years leading an architectural development process and collaborate with application development teams, architects and other members of the software development team
  • Expert-level proficiency in SQL, including complex query design, performance optimization, data modelling, and integration across cloud platforms and BI tools
  • Able to analyse complex use cases to model and interpret data through critical thinking
  • Deep subject matter knowledge of data staging, data lakes, data warehousing, data marts and operational data stores, big data, and analytics as applicable to the telecoms business domain
  • Experience with modern data processing and analytics technologies such as Big Query, Redshift, Teradata, Exadata, Abinitio, Cloudera, etc.
  • Demonstrated expertise in implementing and managing IT controls within an analytics environment
  • Experience working high-volume data and file processing (real-time and batch processing)

Nice to have:

  • AWS/GCP Certifications would be advantageous
  • Big Data knowledge (Hadoop, Map Reduce, Spark, Kafka, etc.)
  • Analytics: Python knowledge
  • Experience architecting and designing cloud & big data solutions
  • Experience with Analytics production implementations in the Cloud (AWS, GCP)
  • Broad understanding of governance best practices for analytics platforms, data warehousing and business intelligence
  • Experience with Data Quality/Data Profiling, Metadata Integration, Master Data Management
What we offer:
  • Enticing incentive programs and competitive benefit packages
  • Retirement funds, risk benefits, and medical aid benefits
  • Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Additional Information:

Job Posted:
February 18, 2026

Expiration:
February 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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