Responsibilities
- Support and enable domain-specific and decentralized development teams by serving as a technical advisor and collecting input to enhance platform effectiveness.
- Apply in-depth knowledge of Databricks and SQL to ensure high data quality and deliver trustworthy data for analytical and operational use.
- Serve as a lead advisor, coaching teams on sound data engineering principles and optimal use of data platforms to promote data-centric decision-making.
- Design and manage resilient data pipelines that ensure data is dependable, accessible, and prepared for analytics and machine learning applications.
- Utilize CI/CD proficiency to develop automated, efficient, and scalable data workflows for development teams.
- Oversee and maintain data quality standards, ensuring visibility and consistency across the organization.
- Collaborate closely with business stakeholders and IT units, contributing actively to the growth and engagement of the internal data community.
