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GCP Data Architect @ LatentView

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LatentView  GCP Data Architect

Job Description

Job Summary
we are seeking a Lead Architect Data Engineering (GCP Data Architect) to drive a large-scale Cloud and Data Platform Modernization program. This role focuses on building a next-generation GCP Data Mesh and Data Platform as a Service (DPaaS) to enable enterprise-wide analytics and AI readiness.
You will lead the transformation of raw enterprise data into high-value Gold layer data products within a Medallion Data Lake architecture, powering business-critical BI and self-service analytics. As a key technical leader, you will collaborate with cross-functional stakeholders and ensure the platform is scalable, secure, and future-ready.
Role Responsibilities
Architectural Leadership Delivery
  • Design and implement a scalable GCP Data Mesh architecture with domain-driven ownership
  • Architect and build Data Platform as a Service (DPaaS) capabilities for enterprise use
  • Lead the design of Medallion Data Lake architecture, especially Gold layer datasets (Fact Dimension models)
  • Define and oversee development of robust, scalable data pipelines across enterprise systems
Data Engineering Platform Development
  • Develop enterprise Semantic Layer and Data Products for BI and self-service analytics
  • Ensure high data quality through automated validation, monitoring, and observability frameworks
  • Optimize BigQuery performance (partitioning, clustering, indexing, query tuning)
  • Enable AI-ready data platforms for future advanced analytics use cases
Governance Collaboration
  • Implement data governance, security, and RBAC frameworks
  • Collaborate with domain and technical SMEs to align architecture with business goals
  • Drive Agile delivery, ensuring timelines and milestones are met
  • Act as the key liaison between delivery teams and stakeholders
Required Skills Qualifications
  • 1012 years of experience in Data Engineering with 35 years in a lead/architect role
  • Strong expertise in GCP services (BigQuery, Dataflow, Dataproc, GCS, Pub/Sub, Cloud Composer)
  • Experience in building Data Mesh, Medallion Architecture, and scalable data platforms
  • Proficiency in data modeling (Star/Snowflake schema) and pipeline design (ETL/ELT)
  • Hands-on experience with CI/CD, DevOps practices, and Terraform for GCP provisioning
  • Knowledge of data governance, security, and RBAC, with strong stakeholder communication skills

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: Data warehouse Architect / Consultant
Employement Type: Full time

Contact Details:

Company: LatentView
Location(s): Bengaluru

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Keyskills:   snow flake schema cd continuous integration cloud orchestration ci/cd dimensional modeling data architecture data engineering dataproc gen data modeling gcp devops terraform bigquery etl data flow pubsub communication skills architecture

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