Job Overview
- Experience Level
- +7 years
- Employment Type
- Full-time
- Workplace Type
- Not specified
- Location
- Not specified
- Job function
- IT & Tech
- Application Deadline
- 08 September 2024
About the Role
Envision Employment Solutions is currently looking for a Data Architect for one of our partners, a very well-known company
Job Summary:
The Data Architect will play a pivotal role in designing and implementing the company's data architecture to support the company's data-driven initiatives. This role will work closely with the Head of Data Engineering and Head of Analytics to create a scalable, secure, and efficient data infrastructure that enables the company's to effectively utilize data for decision-making and strategic insights.
Responsibilities: - Design, develop, and maintain the company's data architecture, ensuring it aligns with business objectives and industry best practices - Collaborate with the Head of Data Engineering and Head of Analytics to define data requirements and create solutions that support analytics, business intelligence, and data-driven projects - Evaluate and recommend data storage and management technologies, tools, and platforms to enhance the company's data capabilities - Develop and implement data modelling standards, guidelines, and best practices to ensure data consistency, quality, and accessibility across the organisation - Work with cross-functional teams to identify and address data-related challenges and opportunities - Continuously monitor and optimise the performance, scalability, and security of the company's data infrastructure - Stay up-to-date with the latest industry trends and emerging technologies, identifying opportunities to improve the company's data architecture and capabilities - Effectively communicate complex data concepts and solutions to both technical and non-technical stakeholders
Requirements
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field - Minimum of 7 years of experience in data architecture or a related field, with a strong background in data modelling, data warehousing, and database design - Proficiency in SQL and experience with relational, NoSQL, and columnar databases - Familiarity with data integration and ETL tools, as well as big data technologies such as Hadoop, Spark, and Kafka - Experience with cloud-based data solutions (AWS, Azure, or Google Cloud) - Strong analytical, problem-solving, and communication skills - Ability to work effectively with cross-functional teams and stakeholders - A track record of designing and implementing successful data architecture solutions in complex environments