Data Architect

Relanto, Inc.
San Francisco, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

San Francisco, United States of America

Tech stack

Third Normal Form
Airflow
Data analysis
Google BigQuery
Cloud Database
Cloud Storage
Data as a Services
Data Architecture
Data Governance
Data Integration
ETL
Data Vault Modeling
Data Warehousing
Data Flow Control
Python
Meta-Data Management
Performance Tuning
Cloudera
SQL Databases
Google Cloud Platform
Cloud Platform System
Data Ingestion
Data Strategy
Data Lake
Data Management
Terraform
Stream Processing
Data Pipelines

Job 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

Requirements

  • 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

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