Data Architect ( GCP / Databricks)

10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Data Architect ( GCP / Databricks)

Location:

Noida, India

Experience:

10+ Years

About The Role

We are seeking an experienced

Data Engineer Architect

to design, architect, and optimize

large-scale enterprise data platforms

. The ideal candidate will bring deep expertise in

Databricks, PySpark, Google Cloud Platform (GCP), Unity Catalog, ETL processes, and Terraform

, with a proven track record of delivering enterprise-grade, scalable, and secure data engineering solutions.

Key Responsibilities

  • Architect and design modern, scalable, and secure data engineering platforms on Google Cloud Platform (GCP).
  • Define, implement, and optimize ETL/ELT pipelines using Databricks, PySpark, and Unity Catalog for governance and cataloging.
  • Establish and enforce data architecture standards, frameworks, and best practices across projects.
  • Lead end-to-end delivery of enterprise solutions, covering data ingestion, transformation, storage, and consumption layers.
  • Collaborate with stakeholders to translate business requirements into scalable data solutions.
  • Implement and manage data governance frameworks ensuring compliance, quality, and security.
  • Drive automation and infrastructure deployment using Terraform and other DevOps tools.
  • Provide technical leadership, mentorship, and guidance to engineering teams.

Required Skills & Expertise

  • 10+ years of experience in data engineering, with at least 3+ years in an architect role.
  • Strong hands-on expertise in Databricks, PySpark, and ETL/ELT processes.
  • Proven experience with Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, etc.).
  • Proficiency in Unity Catalog for governance and cataloging.
  • Strong understanding of data architecture principles (Data Lake, Medallion, Data Vault 2.0).
  • Hands-on experience with Terraform (IaC) and cloud automation.
  • Familiarity with DevOps/CI/CD pipelines for data solutions.
  • Ability to define and execute architecture roadmaps, aligning with business and technical needs.
  • Excellent communication and leadership skills.

Preferred Qualifications

  • GCP Professional Data Engineer or Architect Certification.
  • Experience implementing enterprise data governance frameworks.
  • Knowledge of multi-cloud environments (AWS, Azure) is a plus.

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