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Sappi is a global company focused on providing dissolving wood pulp, paper-pulp and paper based solutions to its direct and indirect customer base across more than 100 countries. Our dissolving wood pulp is used worldwide by converters to create viscose fibre for clothing and textiles, acetate tow, pharmaceutical products as well as a wide range of consumer ...
The main responsibilities of the job are:
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 flow 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.
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.
Support
Facilitate a Sappi data-driven culture by ensuring data is accessible and digestible according to business requirements 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.
The ideal candidate should have:
- 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 microservices 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 a 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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