Sr Google Cloud Platform Data Architect--Strictly need local-- F2F Mandate

Title: Sr Google Cloud Platform Data Architect

Location: Jersey City, NJ

Duration: Long Term

Experience:  must have 15+ years.

 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.