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GCP Data Architect

66degreesBengaluru, Karnataka, IndiaPosted 16 May 2026

66degrees is seeking a Data Architect to design and manage enterprise-grade data architectures on Google Cloud Platform. The role involves developing data models, optimizing large-scale data pipelines, and enforcing data governance across complex datasets. Candidates must have deep expertise in GCP services and big data technologies like Spark and Hadoop. This position allows for significant architectural ownership within a specialized AI transformation partner.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

66degrees is seeking a Data Architect to design and manage enterprise-grade data architectures on Google Cloud Platform. The role involves developing data models, optimizing large-scale data pipelines, and enforcing data governance across complex datasets. Candidates must have deep expertise in GCP services and big data technologies like Spark and Hadoop. This position allows for significant architectural ownership within a specialized AI transformation partner.

TAL's take

Quality 60/1005/5 clarityTier 2 company

Solid tier-2 role at a specialized AI transformation partner with clear architectural scope and well-defined technical requirements.

The JD provides a crisp list of responsibilities, required GCP stack, and clear architectural focus.

Must haves

  • In-depth knowledge of GCP data services
  • Expertise in data modeling techniques
  • Hands-on experience with Spark and Hadoop
  • Proven ability to design scalable cloud architectures
  • Proficiency in SQL, Python, and DBT

Tools and skills

gcpbigquerycloud dataflowcloud pub/subcloud storagecloud dataproccloud runcloud composerdata modelingsparkhadoopsqlpythondbt

Nice to have: oracle cloud, gcp professional data engineer certification, gcp cloud architect certification.

About the company

Established AI transformation and cloud services partner with a clear focus on enterprise data solutions.

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