Overview
Hybrid
Depends on Experience
Full Time
Skills
GCP
Job Details
Job Title: Data Architect with Google Cloud Platform Location: Dallas, TX or Tampa, FL (Hybrid)
Employment Type: Full-Time
Job Summary:
We are seeking an experienced and highly skilled Google Cloud Platform Data Architect to lead the design and implementation of scalable, secure, and high-performance data solutions in Google Cloud Platform (Google Cloud Platform). As a critical member of our Data Engineering team, you will work closely with stakeholders to develop and deliver modern data architectures that support our business intelligence, machine learning, and advanced analytics initiatives.
Key Responsibilities:
- Design and implement enterprise-grade cloud data architectures on Google Cloud Platform including data lakes, data warehouses, and real-time data pipelines.
- Collaborate with cross-functional teams to gather business requirements and translate them into scalable cloud-based solutions.
- Lead the migration of on-premise data systems to Google Cloud.
- Develop strategies for data ingestion, storage, processing, governance, and security.
- Establish and enforce data architecture standards, guidelines, and best practices.
- Utilize Google Cloud Platform services such as BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage, Dataproc, etc.
- Optimize data pipeline performance and manage cost-effective cloud resource utilization.
- Provide architectural leadership and mentoring to data engineers and developers.
- Support analytics and data science teams with efficient data models and integrations.
Required Qualifications:
- Bachelor s or Master s degree in Computer Science, Information Systems, or a related field.
- 7+ years of experience in data architecture or engineering roles.
- Minimum 3+ years of hands-on experience designing and implementing data solutions on Google Cloud Platform (Google Cloud Platform).
- Strong experience with Google Cloud Platform services: BigQuery, Cloud Composer, Dataflow, Dataproc, Pub/Sub, Cloud Storage, etc.
- Proficiency in SQL, Python, and data modeling (dimensional, normalized, etc.).
- Solid understanding of ETL/ELT frameworks, real-time streaming, and batch processing.
- Strong knowledge of data governance, security, and compliance.
- Excellent communication and stakeholder management skills.
- Google Cloud Platform Certification (e.g., Professional Data Engineer, Cloud Architect) is a strong plus.
Preferred Qualifications:
- Experience with Terraform or Infrastructure as Code (IaC).
- Knowledge of DevOps/DataOps practices in cloud environments.
- Familiarity with machine learning workflows and tools on Google Cloud Platform.
- Experience in the telecommunications industry is a plus.
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