- User-Centric Framework Development: Understand and address the needs of end-users regarding data quality and data observability frameworks.
- Ground-Up Framework Development: Take the lead in developing data quality and observability frameworks from the ground up.
- Collaborative Tool Development: Actively participate in creating collaborative tools that enhance communication and coordination among team members and stakeholders.
- Policy and Compliance Management: Develop and enforce data policies, ensuring compliance with industry regulations, and stay informed about evolving data governance standards.
- Training and Knowledge Sharing: Conduct training sessions for team members and end-users on the proper use of data tools, governance processes, and best practices.
- Risk Management: Identify potential risks to data integrity and security, implement measures to mitigate these risks, and develop contingency plans.
- Vendor and Tool Evaluation: Assess and recommend third-party tools and vendors aligning with the data platform’s goals and enhancing its capabilities.
- Documentation: Create and maintain comprehensive documentation for data governance processes, data contracts, and the overall architecture to ensure transparency and knowledge transfer.
- User Feedback Integration: Actively collect and incorporate user feedback throughout the development and enhancement processes, ensuring the evolution of the data platform aligns with user needs.
- Bachelor’s degree in a relevant field (Computer Science, Information Technology, or Data Management).
- In-depth knowledge of Snowflake data warehousing and SQL.
- Familiarity with data governance tools and frameworks.
- Strong understanding of data security, privacy, and compliance regulations.
- Excellent communication and interpersonal skills.
- Strong problem-solving and analytical skills.
- Attention to detail and a commitment to data quality.
- Relevant certifications in data governance or Snowflake administration may be advantageous.
- Experience with other data governance tools and technologies.
- Knowledge of cloud platforms, such as AWS and Azure.
- Innovative Thinker: Exhibit a knack for thinking outside the box and proposing creative solutions to complex data challenges.
- Adaptability: Demonstrate the ability to adapt swiftly to evolving technologies, methodologies, and project requirements in the dynamic field of data analytics.
- Problem-Solving Prowess: Display a natural inclination and skill for dissecting problems and developing effective and efficient solutions.
- User-Centric Focus: Keep the end-user in mind at all stages, ensuring that the tools and platforms developed truly meet their needs and enhance their experience.
- Team Player: Foster a collaborative spirit, building positive working relationships with team members and other stakeholders