Data Architect
4 weeks ago
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- Job by industries
As a Data Architect, you will be responsible for:
Data Architecture
- Translate business requirements from all regions and areas of the business into architectural requirements and technical specifications, including data streams, integration, transformation and appropriate data storage options.
- Define the data architecture framework standards and principles, including data modelling/transformation, metadata, security, reference and master data, change management and governance.
- Design, develop and maintain data flows for data sources, data transformation and data consumption - including the processes used to plan, specify, enable, create, acquire, transform, maintain, use, archive, retrieve, control, and purge data.
- Collaborate and coordinate with multiple departments, stakeholders, partners, and external vendors to achieve
Operational management
- Assess best practices and propose procedures and safeguards to constantly ensure data integrity and data availability.
- Work independently as well as with the global team to prioritise business requirements and develop time estimates and implementation plans.
- Effectively communicate with all stakeholders on the status of all initiatives
- Establish and maintain governance to ensure full compliance of audit, controls and security requirements.
Interfaces
- This role will interface with internal and external business partners, system integration leads, functional leads and development leads, customers and vendors in order to fulfil the stated primary goal.
- Build constructive relationships with internal and external business partners and with suppliers/contractors.
- Collaborate with global business partners in identifying opportunities to streamline their operations.
- This role requires strong people skills, with the ability to conceive, portray and articulate the big data picture to all stakeholders
Support
- Facilitate a Sappi data driven culture by ensuring data is accessible and digestible according to business requirement and priorities.
Continuous Improvement & innovation
- Support the culture of continuous improvement through team member engagement, training, coaching, and innovation.
- Identify, review, and promote creative ideas and approaches to improve data democratization.
- Ensure optimal utilization of technology solutions, and benefit realization for solutions deployed.
What are we looking for?
- Minimum University Degree in Information Technology.
- Masters Degree would be an added advantage.
- 5-8 years experience in Data Engineering and Architecture.
- Strong experience and skill level in designing and building robust data solutions
- Experience in SQL and data transformation (ETL)
- Ability to write clean, maintainable, and robust code in either Python, Scala or Java. Knowledge of R is a plus
- Exposure to established and emerging data technologies.
- Ability to multitask and manage workload with minimal supervision.
- Ability to collaborate and build relationships with people at all levels
- Strong analytical skills with heightened problem-solving ability.
- Excellent communication skills, both verbal and written.
- Familiarity with data science workflows and experience with micro services and container technologies like Docker is a plus
- Familiarity with citizen data science tools like Rapidminer and visualisation tools like Tableau is a plus
- This role requires innovation-oriented skills and exposure to big data technologies and architecture options.
- Development experience in data solutions is prerequisite in order to extract and transform data from a variety of data sources according to business requirements for BI and Advanced Analytics purposes.
- Must be willing to travel.
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