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dreampath services

Data Architect – GCP (Google Cloud Platform) 10+ year

10-12 Years
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Job Description

Job Title: Data Architect – GCP (Google Cloud Platform)

Location: Pune (Hybrid Mode)

Experience: 10–12 Years

Employment Type: Contract 2 hire

Role Overview

We are looking for a highly experienced Data Architect with strong expertise in Google Cloud Platform (GCP) to design, build, and scale modern data architectures. The ideal candidate will be responsible for end-to-end data solutioning, architecture design, and driving implementation across large-scale data platforms.

This role requires ownership mindset, strong technical depth, and the ability to work independently while collaborating with cross-functional teams.

Key Responsibilities

  • Design and implement scalable, secure, and high-performance data architectures on GCP
  • Own end-to-end data solutioning including data ingestion, processing, storage, and analytics
  • Define data models, data pipelines, and architecture standards
  • Work closely with business stakeholders to translate requirements into technical solutions
  • Lead architectural decisions and ensure best practices in data governance, security, and compliance
  • Optimize data workflows for performance, scalability, and cost-efficiency
  • Mentor engineering teams and guide implementation of data solutions

Required Skills & Experience

  • 10–12 years of experience in data engineering/data architecture
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Expertise in GCP services such as:
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Storage
  • Dataproc
  • Experience in building large-scale data pipelines (batch & real-time)
  • Strong knowledge of data warehousing, ETL/ELT, and data modeling
  • Proficiency in SQL and programming languages like Python/Java/Scala
  • Experience with data governance, security, and compliance frameworks
  • Strong problem-solving and stakeholder management skills

Preferred Qualifications

  • GCP Certification (Mandatory/Highly Preferred)
  • Experience with modern data stack and cloud-native architectures
  • Exposure to DevOps/DataOps practices
  • Experience in handling large-scale enterprise data platforms

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About Company

Job ID: 145952685

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