Google Cloud Platform Data Architect.

Hi,

Our client is looking for Google Cloud Platform Data Architect. term project Nashville, TN below is the detailed requirements.

Job Title : Google Cloud Platform Data Architect.

Location : Nashville, TN

Duration : Long Term

JD :

Key Responsibilities:

• Architect Scalable Data Solutions: Design and implement data warehouses, marts, lakes, and batch and/or real-time streaming pipelines using Google Cloud Platform-native tools.
• Data Modeling & Integration: Design and Develop conformed data models (star/snowflake schemas) and ETL/ELT processes for analytics and BI tools (MicroStrategy, Looker, Power BI).
• Pipeline Development: Build scalable pipelines and automate data ingestion and transformation workflows using BigQuery, Dataflow , Dataproc/PySpark, Cloud Functions, Pub/Sub, Kafka, and Cloud Composer for orchestration.
• Security & Compliance: Implement IAM, encryption, and compliance standards (GDPR, HIPAA) with Google Cloud Platform security tools.
• Performance Optimization: Apply best practices for partitioning, clustering, and BI Engine to ensure high performance and cost efficiency.
• DevOps & Automation: Integrate CI/CD pipelines, IaC (Terraform), and containerization (Docker, Kubernetes) for deployment and scalability.
• Collaboration & Leadership: Engage with stakeholders including leadership, Project Managers, BAs, Engineers, QA, platform teams, mentor teams, and provide technical guidance on best practices.
• Troubleshooting: Resolve complex technical issues and support incident response.
• Healthcare Domain Expertise: Ensure compliance with healthcare regulations and stay updated on industry trends.

Required Skills & Working experience:

• Google Cloud Platform Expertise: BigQuery, Cloud Storage, Dataflow (Apache Beam with python), Dataproc/PySpark, Cloud Functions, Pub/Sub, Kafka, Cloud Composer.
• Programming: Advanced SQL and Python for analytics and pipeline development.
• Performance Optimization: Experience with optimization of query performance, partitioning, clustering, and BI Engine, in BigQuery.
• Automation: Experience with CI/CD for data pipelines, IaC for data services, automation of ETL/ELT processes.
• Security: Strong knowledge of IAM, encryption, and compliance frameworks.
• Architecture Design: Ability to create fault-tolerant, highly available, and cost-optimized solutions.
• Communication: Excellent ability to convey technical concepts to both technical and non-technical stakeholders.
• Domain Knowledge: Familiarity with healthcare data management and regulatory compliance.