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About the Role
As a Staff Data Engineer supporting the Legal Content Policy and Standards (LCPS) team, you will lead the design and development of Google’s foundational, AI-ready data infrastructure to help Google comply with global content regulations and protect user safety. In this senior-level role, you will architect complex, scalable data pipelines from scratch and seamlessly integrate fragmented legacy systems into a unified Single Source of Truth.
Responsibilities
- Guide consultations with cross-organizational partners to define data sources and validation standards, partnering with engineers and data scientists on ML training.
- Oversee the development of infrastructure and business solutions to scale common frameworks, and design secure data processing systems while advocating for best practices.
- Direct the development and scaling of data models, pipelines, and exchange formats to reduce data fragmentation and increase data discoverability.
- Leverage, deploy, and continuously train ML models while implementing new storage and serving systems to scale across Data Engineering.
- Manage data profiling and analysis using existing data models and custom infrastructure to clarify client requirements and enable data-driven decision-making.
Requirements
- 10 years of experience writing code using specialized languages and libraries (e.g., Python, R, SQL) for datasets.
- 10 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
- Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
- Experience designing robust, scalable, and synchronized pipelines, as well as dimensional modeling.
- Experience partnering with non-technical stakeholders to translate ambiguous business or regulatory requirements into structured technical designs.
- Interpreting and designing data elements, structures, and relationships to deliver consistent and predictable data models.
- Designing and implementing complex ETL pipelines for synchronous and asynchronous system integration.
- Designing, evaluating, and managing scalable data storage and processing ecosystems (e.g., Data Lakes, Data Warehouses, Data Mesh).
Skills
- Python
- R
- SQL
- Hadoop
- Spark
- Pig
- Hive
- MapReduce
- Flume
- Data Modeling
- ETL
- Data Lakes
- Data Warehouses
- Data Mesh
Experience Level
- 10 years
Education Level
- Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
Salary/Compensations
- US: $186000 - $269000 (USD) + 20% bonus target + equity
Benefits
- Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
About the Company
- The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
- We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure.
- As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.