Data Architect (AWS Focus) – Cloud Data and AI Consulting

Johannesburg, Gauteng, South Africa

Deloitte

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Company Description

Deloitte is the largest private professional services network in the world. Every day, approximately 457,000 professionals in more than 150 countries demonstrate their commitment to a single vision: to be the standard of excellence, while working towards one purpose – to make an impact that matters. Click here to read more about Deloitte.  

About the division 

Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help lead in the markets where our client's compete.

Are you a game changer?  Do you believe in adding advantage at every level in everything you do?  You may be one of us.

Deloitte consulting is growing, with a focus on developing our already powerful teams across our portfolio of offerings.  We are looking for smart, accountable, innovative professionals with technical expertise and deep industry experience insights. The combination of our 6 areas of expertise, our well-developed industry structure and our integrated signature solutions is a unique offering never seen before on the African continent.

Job Description

We are seeking an experienced Data Architect with strong AWS expertise to join our management consulting practice. In this client-facing role, you will design and implement modern, scalable data solutions across diverse client environments, with a focus on AWS services, data modelling methodologies, and various visualization tools. You will collaborate with both client technical teams and AWS experts to deliver optimized solutions that drive business transformation. 

Key Responsibilities 

  • Lead client engagements to assess, design, and implement modern AWS-based data architectures. 

  • Collaborate closely with AWS Solution Architects and client technical teams to design optimal solutions. 

  • Partner with client enterprise architects to ensure data solutions integrate with existing technology landscapes. 

  • Develop and apply enterprise data modelling approaches (Kimball, Data Vault, Inmon) based on client needs. 

  • Design and implement reporting and visualization solutions that connect to AWS data sources for analytics 

  • Develop strategic data roadmaps and implementation plans aligned with client business objectives. 

  • Advise clients on industry best practices for cloud data architecture and AWS adoption. 

  • Create reference architectures and solution blueprints for common client scenarios. 

  • Conduct discovery workshops to gather requirements and present technical recommendations. 

Key Skills and Competencies 

  • Exceptional client communication and presentation abilities 

  • Strong project management and engagement delivery capabilities 

  • Business acumen to understand client industries and value drivers 

  • Ability to translate complex technical concepts for non-technical stakeholders 

  • Skilled in navigating complex stakeholder environments and building consensus 

  • Adaptability to work across diverse client environments and industries 

  • Problem-solving aptitude with attention to detail 

  • Ability to balance technical excellence with practical business needs 

Technical Skills - Must Have 

  • Proficiency with AWS data services (Redshift, RDS, DynamoDB, S3, Glue, Lake Formation) 

  • Advanced expertise in data modelling methodologies (Kimball, Data Vault, and/or Inmon) 

  • Experience designing and implementing dimensional models and data vault architectures 

  • Experience connecting various visualisation tools to AWS data sources 

  • Knowledge of data governance, security, and compliance frameworks 

  • Hands on experience in Python 

  • Experience with data migration and modernisation projects 

  • Experience working in agile development environments 

 

Technical Skills - Nice to Have 

  • Exposure to generative AI technologies and applications 

  • Exposure to Data Build Tool (DBT) or other warehouse automation technologies 

  • Understanding of AWS Bedrock, SageMaker, or similar AI services 

  • Experience integrating LLMs with data platforms 

  • Familiarity with vector databases and embedding models for text analytics 

  • Experience with Amazon QuickSight 

Qualifications

  • Bachelor's degree in Computer Science, Information Systems or related field 

  • AWS Certified Solutions Architect (Associate or Professional) 

  • AWS Certified Data Engineer Associate certification 

  • Power BI certification 

  • 5-8 years of experience in data architecture with emphasis on client delivery 

  • 5+ years of hands-on experience with AWS Data and Analytics services 

  • 2+ years of experience with Power BI development and implementation 

  • Proven ability to work effectively with AWS Solution Architects and enterprise architecture teams 

  • Experience in management consulting or professional services environment.

Additional Information

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive.  Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture AWS Computer Science Consulting Data governance dbt DynamoDB Generative AI Lake Formation LLMs Power BI Python QuickSight Redshift SageMaker Security

Region: Africa
Country: South Africa

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