GCP Data Architecture

Alike Thoughts; Hyderabad, Pune District, Chennai District; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Alike Thoughts in India is seeking an experienced GCP Data Architect to design scalable data platforms on Google Cloud Platform, focusing on data engineering, architecture and governance. You will lead data engineering teams, define data models, ingestion and ETL/ELT patterns, and collaborate with business and tech stakeholders to translate requirements into robust solutions.

The role demands 12–16 years of experience and a strong track record delivering enterprise-grade data architectures using

Qualifications

• 12–16 years of experience in data engineering and architecture.

Responsibilities

• Design and implement enterprise data architecture and modern data platforms on GCP.
• Define data architecture, data models, integration patterns, and technology standards.
• Lead the design of scalable data engineering pipelines and ETL/ELT solutions.
• Design solutions using BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
• Develop data ingestion, transformation, processing, and integration frameworks.
• Ensure data quality, security, governance, lineage, and compliance.
• Work with business, data engineering, and technology teams to translate requirements into scalable data solutions.
• Provide technical leadership and guide data engineering teams.

Skills

Data engineering

Data architecture

Google Cloud Platform (GCP)

Enterprise data platforms

Data pipelines

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Job description

Job Description GCP Data Architect

Experience: 12–16 Years
Location: Pan India
Work Mode: Hybrid
Employment Type: Full-time

Job Summary

We are looking for an experienced GCP Data Architect with strong expertise in Data Engineering, Data Architecture, and Google Cloud Platform (GCP). The candidate will be responsible for designing scalable, secure, and high-performance data platforms and solutions.

Key Responsibilities

• Design and implement enterprise data architecture and modern data platforms on GCP.
• Define data architecture, data models, integration patterns, and technology standards.
• Lead the design of scalable data engineering pipelines and ETL/ELT solutions.
• Design solutions using BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
• Develop data ingestion, transformation, processing, and integration frameworks.
• Ensure data quality, security, governance, lineage, and compliance.
• Work with business, data engineering, and technology teams to translate requirements into scalable data solutions.
• Provide technical leadership and guide data engineering teams.

Regards,