Data Architect

  • Relanto Expired
  • Fremont, California
  • Full Time

This job ad was removed 5 hours ago.

Job Description


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 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

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 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
Job ID: 523496629
Originally Posted on: 6/3/2026

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