Data Architect

Relanto, Inc.
Fremont, 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

Job location

Fremont, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Google BigQuery
Cloud Storage
Data Architecture
Data Governance
Data Integration
Data Systems
Data Flow Control
Meta-Data Management
Performance Tuning
Cloudera
User-Centered Design
Google Cloud Platform
Cloud Platform System
Data Ingestion
Data Strategy
Data Management
Data Pipelines

Job description

  • Architect Scalable Data Solutions: Design and implement high-performance, secure, and scalable data architectures on GCP or AWS 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

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.

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