Data Architect
1 week ago
- Design, document, and implement solutions throughout the data stack, including warehousing, modelling, and business intelligence
- Play an integral role in developing a company wide data governance program. Responsible for defining, developing, and maintaining effective and efficient data architecture and data ownership. Create and define data infrastructure policies, procedures and processes
- Coordinate and collaborate with different teams, stakeholders, and vendors for the smooth functioning of the enterprise data system
- Collaborate with business, product, and engineering leaders to understand business opportunities, help shape and drive the development of data infrastructure, data integration and data warehousing platforms
- Architect data warehouse with elegant design thinking approach. Develop and automate pipelines and tools to enable streamlined and robust operation
- Oversee data asset storage, cataloguing, discoverability, and meta-data management
- Act as subject matter expert on how data flows between systems within the organization and the trade-offs between providing a full BI solution versus enabling ad hoc data analysis
- Help define and implement monitoring of metrics for measuring data availability, usage, and team efficacy
- Improve the stability and performance of data infrastructure using operational data and an observability mindset
- Drive and encourage conversations based on data strategy and engineering principles to create alignment across the team, department, and wider organization
- Create implementation plans and iterative milestones for architectural decisions and technical initiatives
- Foster a culture of iterative deployability with awareness of cycle time and failure rates
- Use a systematic approach to debugging to diagnose issues within the data infrastructure
- Implement observability solutions and write tests to ensure application quality and stability
- Ensure code meets defined acceptance criteria and consistently evangelize and educate team members about established best practices
- Develop a system that enforces style, process, and guidelines for developing a new data model
- Consistently produce production-ready code that is easily testable, easily understandable, and accounts for edge cases and errors, using comments and other documentation strategies where appropriate
- Any other task assigned by management
- An undergraduate or post graduate degree in computer science or a related field of study
- Preferably a minimum 8 years of relevant working experience
- To be able to work creatively and analytically in a problem-solving environment
- Self-motivated and independent, able to work with minimum supervision and to work well with stakeholders and project staff
- A self-starter with a passion for working in a fast-paced and demanding startup environment
- Work effectively with all other colleagues e.g. from the development team, business analysts, security, risk and compliance
- Able to translate business priorities and objectives into technical solutions
- Ability to plan and organize technical work and deliverables
- Ability to follow guidelines and adhere to the established software development standards
- Ability to prioritize and multi-task across numerous work streams
- Strong interpersonal skills, strong verbal, written, communication and presentation skills
- Strong knowledge of best practices through relevant experience across data-related disciplines and technologies particularly for enterprise wide data architectures and data warehousing/BI
- Applicants must be willing to accept that the default working arrangement is to work in the corporate office of MARC Data
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