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About the job


DATA ARCHITECT

Why you should work at Discovery

Discovery is a high-performance organisation that prides itself in attracting the finest talent, we challenge ourselves to find solutions that make a difference in the world. Our environment is always buzzing with energetic, smart, and motivated people who have a bias for action and truly believe in the core purpose and values of Discovery.

What Is The Role

In the Discovery Health Data Science unit, our core purpose is “creating intelligence for a healthier tomorrow” by leveraging Discovery’s vast data to drive valuable insights to improve both clinical and operational environments. Key to our purpose is obtaining and structuring quality data, leveraging cutting edge analytical innovations and delivering actionable insights in a sustainable and meaningful way. We leverage an integrated, collaborative, and multidisciplinary approach to ensure our objectives and goals are met.

The role entails architecting the data platform layer, data cleansing layer, reporting and analytical layers. Work closely with Data Scientists to understand model features and link back to transactional environment to understand data quality, data relationships and data availability. Document and define frameworks with the Data Engineer to build the data platform. Together these teams will enable data driven actionable insights. The role may include international exposure with Discovery partnerships.

What You Will Do

The successful applicant will be working within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.

Responsibilities Will Include

  • Provide Data Architecture (DA) support for the Data Engineering team
  • Define DA for the Data Science teams and participate in review and walk-through sessions for model fit and model producionization
  • Assist with the definition of custom meta data models for ELT/ETL
  • Direct data automation capabilities with the Data Engineer and Data Scientist
  • Profile new data sources in a variety of formats including Json, XML, etc
  • Define data quality rules with Data Scientists to clean data
  • Define data mapping and transformation rules between source and datawarehouse and data lake
  • Work closely with Data Engineer to facilitate Data Governance including access and security control
  • Expert documentation of DA for new data sources, metadata and productionized information flow

What Skills You Will Need

Technical skills core:

  • Programming in R, Python
  • Expert data modelling
  • Expert database knowledge in SQL
  • Modern datawarehouse design skills
  • Exceptional data modelling skills ie physical, dimensional and relational 3N forms
  • Experience working on large and complex datasets
  • DevOps/DataOps and CI/CD experience
  • Strong communicator verbally and in writing

Behavioural Skills

  • Strong leader
  • A passion for data
  • Highly analytical and critical thinker
  • Self-starter
  • Willingness to learn and grow exponentially
  • A restless curiosity in learning new technology
  • Ability to work cohesively in a team environment and balance multiple priorities
  • A team player who can work alone when required and without supervision
  • High level of attention to detail, resilience, enthusiasm, energy and drive
  • Positive, can-do attitude
  • Ethical and able to maintain confidentiality and manage boundaries
  • Aligned to Discovery values and core purpose

Professional Qualifications & Experience

  • Honours or Master’s degree in BSc Computer Science
  • Honours or Master’s degree in Engineering or Software Engineering with solid experience in data mining and machine learning
  • Other qualifications will also be considered if accompanied by the relevant experience
  • 10 to 15 years of experience is preferred

EMPLOYMENT EQUITY

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.



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