Job Openings Data Architect

About the job Data Architect

Intellinexus in a nutshell:

Intellinexus is a business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making capabilities. We combine innovation and expertise with access to the best talent to help organisations become smarter, more agile, and more resilient to the changes in their operating environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise business decision-making, and give organisations access to real-time, actionable insights into the performance of their business. For more information, please visit www.intellinexusgroup.com

Intellinexus, What we offer:

  • Intellinexus offers remote and hybrid opportunities.
  • Intellinexus is an SME and therefore you get a lot more exposure to different technologies, solutions, techniques and perspectives during projects, which you might be excluded from in other firms with specialists in those areas.
  • Training and development are very important to Intellinexus and time and resources are allocated to grow the consultants careers.

What you will do:

The Data Architect will define how data will be stored, consumed, integrated, and managed to meet the strategic business requirements. Responsibilities include data modelling, database architecture, metadata definition, repository creation, data growth and integration management as well as governance and risk management.

Core responsibilities include:

  • Develops and implements a Data Architecture and management plan for the organisation ensuring alignment to and executed in accordance with Data Strategies
  • Manages all aspects of the data sourcing, migration, modelling, and implementation and identifies new initiatives and/or recommendations for database growth and integration.
  • Provides Data framework/policies, governance, and roadmap to attain the enterprise/organisation data vision in alignment with Group policies and POPIA
  • Identify interconnected problems, determine impact, patterns, and trends, and identify best-fit alternatives to design and implement best practice solutions
  • Facilitates and documents the agreements on appropriate corporate data and its usage (including master data management).
  • Identifies and promotes best practices for data modelling within information areas across the organization, providing oversight for all activities related to data cleansing, data quality, and data consolidation using industry-standard data modelling methods and processes.
  • Displays demonstrated ability in communicating the overall data architecture to both technical and business constituencies.
  • Develops guidelines and best practices to ensure data standardization and consistency.
  • Interact with systems analysts, architects, developers, and development managers to understand source structures and information
  • Documenting of technical specifications
  • Perform thorough testing of outputs using SQL
  • Develop subject matter expertise in both business processes and data sources
  • Provide input on source system change impact on not just BI and reporting but also general business impact
  • Co-ordinate quality assurance and user acceptance testing (Unit and UAT)
  • Implementation of a Data Warehouse from the ground up.

Qualification & Experience:

  • Completed BCOM Informatics / BSC Computer Science or equivalent data qualification
  • Must come from mining industry 8-10 years experience in a Business Intelligence environment
  • 5-10 years experience in Data Architecture in a corporate environment
  • DMBOK certified will be advantageous
  • Business Intelligence certifications will be an added advantage
  • Experience in modelling (Conceptual, logical, and physical)
  • A good grasp of the SDLC process with an understanding of CI/CD (Continuous Integration / Deployment) would be an advantage.
  • Implementation of knowledge of Cloud-based data solutions (e.g., AWS, Azure)
  • Must have Agile experience
  • Experience creating data model POCs using documented test cases and actual data samples.
  • Demonstrable experience leading data governance teams/efforts.
  • Advanced knowledge of standard data modelling tools
  • Advanced knowledge of database concepts, e.g., SQL databases and database querying languages, and NoSQL databases

If you are interested:

Please forward your cv to: [email protected] OR Contact me on 0620760768.