Staff Data Engineer, Trust and Safety Tech and Data Enablement
Analytics
Big Data
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering Lead
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Science
Data Visualization
Data Warehouse
Data Warehouse Lead
Databases
Digital Marketing
Engineer
Information Technology (IT)
Lead Data Engineering
Reporting and Analytics
Software Development
SQL
Job Description
Staff Data Engineer role supporting Legal Content Policy and Standards (LCPS) through Google Cloud Consulting Professional Services, building foundational, AI-ready data infrastructure.
Responsibilities
- Lead consultations with cross-organizational partners to define data sources and validation standards, collaborating with engineers and data scientists on ML training needs
- Oversee development of infrastructure and business solutions to scale common frameworks
- Architect secure data processing systems and advocate for best practices
- Direct creation and scaling of data models, pipelines, and exchange formats to reduce data fragmentation and improve data discoverability
- Leverage and deploy ML models, including continuous training; implement 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
- Integrate legacy systems into a unified Single Source of Truth
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience)
- 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
Technologies
- Python
- R
- SQL
- Hadoop
- Spark
- Pig
- Hive
- MapReduce
- Flume
- MySQL
- Data Lakes
- Data Warehouses
- Data Mesh
Preferred Qualifications
- 10 years of experience designing robust, scalable, and synchronized pipelines, including dimensional modeling
- Experience partnering with non-technical stakeholders to translate ambiguous business or regulatory requirements into structured technical designs
- Experience interpreting and designing data elements, structures, and relationships to deliver consistent, predictable data models
- Experience designing and implementing complex ETL pipelines for synchronous and asynchronous system integration
- Experience designing, evaluating, and managing scalable data storage and processing ecosystems (e.g., Data Lakes, Data Warehouses, Data Mesh)
Location: Austin, TX (onsite)
Salary: USD 186,000 - 269,000 per year
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