Data Architecture Standards Documentation:
- Assist in developing and maintaining documentation covering data modeling, ELT integration, security, and governance.
- Help manage a repository for all architecture documents accessible to stakeholders.
Data Lake Architecture:
- Support the update and enhancement of the Data Lake architecture to incorporate new technologies and best practices.
Data Analytics Architecture:
- Assist in reviewing and optimizing the Data Analytics architecture to enhance performance and data processing capabilities.
- Contribute to integration with data consumption technologies and tools such as Tableau, Power BI, and BOBJ.
Sandbox Architecture:
- Help develop and update sandbox architecture patterns to enhance flexibility, scalability, and security.
- Support the creation of dynamic environments for experimentation and innovation, including sandbox environments for data scientists and functional analysts.
Enterprise Reference Data Management:
- Help establish and maintain standards for enterprise reference data management, governance, application integration, and stakeholder communications.
Qualifications:
- Some experience or strong interest in architecture for analytical tools, reporting tools, and data virtualization tools.
- Familiarity with cloud technology, preferably with Azure.
- Snowflake experience is preferred.
- Interest in developing and documenting data architecture standards.
- Understanding of data modeling, ELT integration, data security, and governance is beneficial.
- Experience or familiarity with data visualization tools like Tableau and Power BI.
- Interest in sandbox environments for data exploration and analysis.
- Knowledge of AI/ML principles and enterprise architecture is a plus.
- Good communication and stakeholder management skills.
- Preferred Skills:
- Strong analytical and problem-solving abilities.
- Ability to work in a fast-paced, dynamic environment.
- Good organizational and project management skills.
- Ability to collaborate effectively with cross-functional teams.