GCP Architect

Nashville, IN - USA

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

Overview

We are seeking an experienced Google Cloud Platform (GCP) Data Architect to design build and manage scalable secure and cost-optimized data solutions aligned with reporting needs. This role involves translating business requirements into robust technical architectures ensuring data integrity and enabling advanced analytics through GCP services like BigQuery and Cloud Storage. The ideal candidate will lead strategy design and implementation efforts while collaborating with stakeholders to drive data-driven decision-making.

Key Responsibilities:

Architect Scalable Data Solutions: Design and implement data warehouses marts lakes and batch and/or real-time streaming pipelines using GCP-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 GCP 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:

GCP 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.

Overview We are seeking an experienced Google Cloud Platform (GCP) Data Architect to design build and manage scalable secure and cost-optimized data solutions aligned with reporting needs. This role involves translating business requirements into robust technical architectures ensuring data integrit...

Overview

Key Responsibilities:

Architect Scalable Data Solutions: Design and implement data warehouses marts lakes and batch and/or real-time streaming pipelines using GCP-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 GCP 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:

GCP 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.