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66degrees

GCP Data Architect

Job · Full-timeIn OfficeBengaluruEntry level / 0-2 years1 opening

About this role

66degrees is hiring for GCP Data Architect in Bengaluru. This opening was published by 66degrees on their official greenhouse careers board on 5 January 2026 and was verified as still open on 17 September 2026. About the role Overview of 66degrees What you'll do day to day • GCP Cloud…

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Skills you'll use

PythonSQLGCPCommunicationRecruitmentSourcingSparkHadoopLinkedIn

What you'll do

  • GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), leveraging services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. Experience designing cloud architectures on Oracle Cloud is a plus.
  • Data Modeling: Develop and maintain conceptual, logical, and physical data models to support various business needs.
  • Big Data Processing: Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop.
  • Data Governance: Establish and enforce data governance policies, including data quality, security, compliance, and metadata management.
  • Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and loading.
  • Performance Optimization: Monitor and tune data systems to ensure high performance and availability.
  • Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance.
  • Innovation: Stay current with the latest technologies and trends in data architecture and cloud computing.

Who can apply

  • GCP Core Services: In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer.
  • Data Modeling: Expertise in data modeling techniques and best practices.
  • Big Data Technologies: Hands-on experience with Spark and Hadoop.
  • Cloud Architecture: Proven ability to design scalable, reliable, and cost-effective cloud architectures.
  • Data Governance: Understanding of data quality, security, compliance, and metadata management.
  • Programming: Proficiency in SQL, Python, and DBT (Data Build Tool).
  • Problem-Solving: Strong analytical and problem-solving skills.
  • Communication: Excellent written and verbal communication skills.
  • A Bachelor’s degree in Computer Science, Computer Engineering, Data or related or equivalent work experience required.
  • GCP Professional Data Engineer or Cloud Architect certification is a plus.

About 66degrees

About 66degrees Every enterprise is looking to AI for an advantage. It doesn't come from how many agents you deploy. It's built in the workflows redesigned around AI, connected into an operating system that governs and improves as it runs. Turning AI-native capabilities into an advantage…
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