Immediate Hiring for Data Architect with GCP Cloud at Bay Area, CA/Hybrid - Relocation is Okay

[John Tin]

Kindly share suitable resumes at Shanka...@relanto.ai


Note: Direct Client - Immediate Interview Available 

Role: Data Architect with GCP Cloud
Location: Bay Area, CA/Hybrid- Relocation is Okay

Responsibilities

• Architect Scalable Data Solutions: Design and implement high-performance, secure, and scalable data architectures on GCP to meet business needs.
• Data Strategy & Governance: Define and enforce data architecture frameworks, standards, and best practices including data modeling, metadata management, lineage, and security.
• Solution Delivery: Lead the design, build, and deployment of cloud-based data platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
• Data Integration & Quality: Oversee data ingestion, transformation, and curation pipelines ensuring data accuracy, consistency, and performance.
• Collaboration & Leadership: Partner with business stakeholders, product teams, and engineers to translate requirements into data-driven solutions.
• Technical Mentorship: Provide guidance and mentorship to data engineers and analysts, promoting architectural excellence and best practices.
• Performance Optimization: Continuously improve the reliability, scalability, and performance of data platforms and processes

Required Skills

• Experience: 8+ years of experience in data architecture, engineering, or analytics, with at least 2 years in a GCP environment.
• Strong proficiency with GCP data services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud SQL, etc.)
• Hands-on experience with ETL/ELT frameworks, data warehousing, and real-time data streaming.
• Strong understanding of data modeling (3NF, Dimensional, Data Vault) and data lake / data mesh architectures.
• Languages & Tools: Proficiency in SQL, Python, and tools like Terraform or Deployment Manager for infrastructure as code.
• Design & Governance: Experience establishing data standards, governance frameworks, and security best practices.
• Collaboration: Excellent communication skills with the ability to work across technical and business teams.