GCP Data Architect

12 - 17 years

14 - 18 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title: GCP Data Architect

Experience:

12+ Years

Work Location:

Hyderabad / Chennai

Job Summary

We are looking for a highly experienced

GCP Data Architect

with deep expertise in Data Engineering, ETL/ELT development, and Enterprise Data Warehousing. The candidate should have strong hands-on experience in GCP cloud technologies, Airflow, Python, and Teradata. You will be responsible for architecting scalable cloud data platforms, modernizing legacy systems, and providing technical leadership across end-to-end data solutions.

Roles & Responsibilities

Cloud Data Architecture & Engineering

  • Architect, design, and deliver scalable Data Engineering and Data Warehousing solutions on

    Google Cloud Platform (GCP)

    .
  • Lead end-to-end implementation using

    BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Cloud Run

    , and other GCP services.
  • Modernize legacy systems by integrating traditional platforms like

    Teradata

    into GCP environments.

ETL/ELT & Workflow Management

  • Design and optimize

    ETL/ELT pipelines

    ensuring high performance, reliability, and automation.
  • Build, schedule, and manage workflows using

    Apache Airflow

    with strong hands-on

    Python

    scripting.

Data Modeling & Optimization

  • Perform conceptual, logical, and physical

    data modeling

    for analytics and reporting.
  • Write and optimize complex

    SQL

    queries for large datasets in

    BigQuery

    and

    Teradata

    .
  • Engineer data solutions for handling semi-structured formats (JSON, Parquet, XML).

Governance, Quality & Security

  • Define, implement, and enforce standards for

    data quality, metadata management, governance, and security

    .
  • Ensure compliance with organizational data policies and best practices.

Automation, DevOps & Agile Delivery

  • Implement

    CI/CD pipelines

    and collaborate with DevOps teams using GitHub, Jenkins, and cloud-native tools.
  • Work in

    Agile/SAFe

    environments, participating in sprint planning, estimations, and team alignment.
  • Document architecture patterns, data flows, best practices, and solution designs.

Leadership & Collaboration

  • Provide technical leadership and guidance to development teams.
  • Collaborate with business, analytics, and engineering stakeholders to align technical solutions with business goals.
  • Evaluate emerging GCP capabilities and recommend improvements for efficiency and scalability.

Required Qualifications

  • 12+ years

    of overall IT experience with strong ETL, Data Warehousing, and Data Engineering background.
  • 7+ years

    hands-on experience with GCP cloud data services.
  • Proven experience delivering

    2+ large-scale GCP Data Warehousing projects

    .
  • Strong expertise in:
    • BigQuery, Cloud Storage, Dataflow, Pub/Sub

    • Airflow, Python, Cloud Functions, Cloud Run

    • Teradata

      (including performance tuning & workload migration)
    • SQL, PySpark

      , and distributed systems optimization
  • Deep understanding of

    data modeling, profiling, mapping, and validation

    .
  • Strong communication, leadership, and analytical problem-solving skills.

Preferred Skills

  • Experience with

    CI/CD

    , GitHub, Jenkins, JIRA, Confluence.
  • Knowledge of

    Kubernetes

    , Docker, or containerized workloads.
  • Domain experience in

    Financial, Telecom, or Retail industries

    .

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