GCP Data Architect

Job Title: GCP Data Architect

Location: Bay Area, CA/Hybrid

Job Description:-

We are seeking a highly skilled Data Architect to join our Data & AI team in the U.S. The ideal candidate will have deep expertise in designing, implementing, and managing data architectures on Google Cloud Platform (GCP). This role involves leading the end-to-end design of data solutions, defining data governance frameworks, and enabling the organization to leverage data for advanced analytics, AI, and business intelligence initiatives.

Key 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
What You Bring

Experience: 8+ years of experience in data architecture, engineering, or analytics, with at least 2 years in a GCP environment.
Technical Expertise:
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.
 

Shankar Bodi
 Senior Talent Acquisition Specialist
M: +1 510-250-7708

Shankar.Bodi@relanto.ai
 W: www.relanto.ai