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# Data Architect

- **Company:** Relanto, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Third Normal Form, Airflow, Data Analysis, BigQuery, Cloud Database, Cloud Storage, Data as a Services, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Vault Modeling, Data Warehousing, Data Flow Control, Python (Programming Language), Meta-Data Management, Performance Tuning, Cloudera, SQL Databases, Google Cloud, Cloud Platform System, Data Ingestion, Data Strategy, Data Lakes, Data Management, Terraform, Stream Processing, Data Pipelines
- **Published:** May 23, 2026
- **Apply:** https://www.dice.com/job-detail/72be4e82-115d-4a27-9a9c-74711fd1f31f

## About the Role

* Experience: 8+ years of experience in data architecture, engineering, or analytics, with at least 2 years in a Google Cloud Platform environment.
 * Technical Expertise:
 * Strong proficiency with Google Cloud Platform 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

## Description

* Architect Scalable Data Solutions: Design and implement high-performance, secure, and scalable data architectures on Google Cloud Platform 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


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