12 days ago
Base Salary
$186k - $269k/yr
Responsibilities
- Guide consultations with cross-organizational partners to define data sources and validation standards.
- Partner with engineers and data scientists on ML training.
- Oversee infrastructure and business solutions that scale common frameworks and secure data processing systems.
- Direct the development and scaling of data models, pipelines, and exchange formats to reduce fragmentation and improve discoverability.
- Leverage, deploy, and continuously train ML models while implementing scalable storage and serving systems.
- Manage data profiling and analysis to clarify client requirements and enable data-driven decision-making.
- Translate ambiguous regulatory requirements from policy and legal stakeholders into structured database schemas and automated workflows.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
- 10 years of experience writing code with specialized languages and libraries such as Python, R, and SQL for datasets.
- 10 years of experience with data-processing software and algorithms such as Hadoop, Spark, Pig, Hive, MapReduce, and Flume.
- Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
- Experience designing robust, scalable, synchronized pipelines and dimensional models.
- Experience partnering with non-technical stakeholders to translate ambiguous business or regulatory requirements into structured technical designs.
- Experience designing complex ETL pipelines for synchronous and asynchronous system integration.
- Experience designing, evaluating, and managing scalable data storage and processing ecosystems.
- Experience integrating fragmented legacy databases into modern data warehouses and building production-level pipelines from scratch.
Benefits
- US base salary is $186000 - $269000 USD, with a 20% bonus target, equity, and benefits.
- Google provides employee benefits; additional benefit details are available through Google’s benefits information.
Tech Stack
Categories
Data Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.