What are the responsibilities and job description for the Sr Google Cloud Platform Architect_NJ position at Keylent?
Sr Google Cloud Platform Architect
New Jersey,NJ
Sr positions must have 15 years exp and onsite NJ
Job Summary:
We are seeking a skilled Google Cloud Platform (Google Cloud Platform) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with Google Cloud Platform data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.
Key Responsibilities:
- Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems.
- Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
- Design and implement scalable, secure, and efficient data pipelines on Google Cloud Platform using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting.
- Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization.Integrate data from on-premise and cloud systems using Cloud Storage, and APIs.
- Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines.
- Ensure security and compliance by applying IAM roles, encryption, and network controls.
- Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions.
- Implement best practices for data quality, monitoring, and governance.
- Required Skills and Experience:
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- Minimum 8 years of experience in data engineering, preferably in a cloud environment.
- Minimum 3 years of hands-on and strong expertise in Google Cloud Platform services:BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring.
- Proficiency in SQL, Python and Linux scripting.
- Prior experience with ETL tools such as Datastage, Informatica, SSIS
- Familiarity with data modeling (star/snowflake) and data warehouse concepts.
- Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform).
- Strong problem-solving and analytical mindset.
- Effective communication and collaboration skills.
- Ability to work in an agile and fast-paced environment.
- Google Cloud Platform Professional Data Engineer or Cloud Architect certification is a plus.