Technical Lead, Data Engineering Solutions
Description For Technical Lead, Data Engineering Solutions
Google is seeking a Technical Lead for Data Engineering Solutions to join their Connected Data and Analytics (CDNA) team under Enterprise Data and Engineering. This role is crucial in developing and maintaining data architecture, engineering, and analytics technologies that empower Google's engineering and business partners. The ideal candidate will have extensive experience in data management, including working with data pipeline frameworks, database engines, and distributed systems. They will be responsible for delivering high-impact solutions, ensuring data integrity and security, and collaborating with internal teams to improve business processes. This position offers the opportunity to work on cutting-edge technologies and contribute to Google's mission of organizing the world's information. The role requires a blend of technical expertise, leadership skills, and a passion for solving complex data challenges at scale.
Responsibilities For Technical Lead, Data Engineering Solutions
- Deliver solutions to meet the data, reporting, and analytics needs of Googlers
- Drive high impact projects to deliver data management and analytical solutions for our partners across Google
- Create and maintain logical and physical database designs
- Ensure the integrity of data under the purview of the projects, including establishing security procedures
- Partner with internal teams to define and implement solutions that improve internal business processes
- Integrate third-party products with internal systems
- Maintain highest levels of development practices including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code
Requirements For Technical Lead, Data Engineering Solutions
- Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
- 5 years of experience in data management as a data engineering lead
- 5 years of experience with data management tools and technologies including data pipelines frameworks, database engines, and file and object stores
- Experience with data management, data integration, data domain, system integration, distributed databases, SQL pipelines, SQL
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