Cloud Data Engineer, Professional Services, Google Public Sector

About the Job: Cloud Data Engineer, Professional Services, Google Public Sector

As a Cloud Data Engineer, Professional Services, Google Public Sector, you will guide Public Sector customers to develop, configure, and deploy their data and AI solutions. You will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more. Your role involves consulting with customers on optimal design for their data and AI solutions, including the development and deployment of ML models and integrations with leading Google technologies. You will also travel to customer sites to deploy solutions and deliver educational workshops. Collaborating closely with Product Management and Product Engineering, you will drive excellence in Google Cloud products and features. This role requires the ability to travel up to 30% of the time.

Google Public Sector is dedicated to bringing Google's innovation to government and education, providing purpose-built solutions for enterprises. We focus on accelerating digital transformations for United States public sector institutions and are actively growing our team to meet their complex needs.

Responsibilities

• Translate business requirements into conceptual, rational, and physical data models.
• Collaborate closely with data producers and consumers across public sector customers and teams to understand data needs, provide consultation, and align data solutions.
• Analyze on-premise and cloud database environments, consulting on optimal design for performance and deployment on Google Cloud Platform.
• Design, build, and maintain data warehouse and pipeline solutions.
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to different levels of key business and technical stakeholders.
• Travel regularly (up to 30%) for meetings, technical reviews, and onsite delivery activities.

Minimum Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience with relational database technologies such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Experience working with business stakeholders to understand requirements, provide technical leadership, and educate teams on GCP best practices.
• Active, or the ability to obtain, a TS/SCI security clearance.

Preferred Qualifications

• Experience with database and AI integrations.
• Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning, and database performance tuning.
• Experience in database administration techniques including storage, clustering, availability, disaster recovery, security, logging, performance tuning, monitoring, and auditing.
• Experience developing, deploying, and managing machine learning models, including experience writing software in one or more languages, such as Java, Python, or Golang.
• Experience working with cloud databases such as RDS, Aurora, ElastiCache, CloudSQL, AlloyDB, Datastore, or Bigtable.
• Experience with machine learning operations (MLOps), data warehousing, and data pipeline development, including ETL and ELT.

Key skills/competency

• Relational Databases
• Google Cloud Platform (GCP)
• Data Warehousing
• ETL/ELT
• Machine Learning (ML) Models
• Data Modeling
• Python/Java/Golang
• SQL
• Cloud Databases
• Technical Consulting