GCP Data Architect

Tata Consultancy Services Limited; Chennai; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services Limited in Chennai is seeking an experienced GCP Data Architect / Data Leader to design and deliver enterprise-scale data solutions on Google Cloud Platform. You will lead design decisions and guide data engineering teams to implement scalable architectures using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Dataplex. Strong Python and SQL skills required.

這个职位要求12–15年的相关工作经验，具备深厚的GCP生态系统知识，能够推动复杂的数据项目。积极协作、具备技术领导力和全面的数据治理意识。

Qualifications

• 12–15 years of experience in data engineering or data architecture.
• Proven track record designing GCP-based data platforms and architectures.
• Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Dataplex.

Responsibilities

• Design scalable data architectures on Google Cloud Platform.
• Define technical architecture for large-scale data ingestion, processing, transformation and analytics.
• Design and optimize enterprise data solutions using BigQuery.
• Develop and guide data-processing solutions using Python and SQL.
• Architect batch and streaming data-processing solutions using Dataflow.
• Work with Dataproc for large-scale workloads.
• Design event-driven data solutions using Pub/Sub and Cloud Composer.
• Use Dataplex to govern data across the GCP landscape.
• Provide technical leadership and architectural direction to data engineering teams.
• Review solution designs for scalability, reliability and performance.
• Collaborate with stakeholders to translate requirements into effective data solutions.

Skills

BigQuery

Python

SQL

Dataflow

Pub/Sub

Dataplex

Job description

We are looking for an experienced GCP Data Architect / Data Leader with strong expertise in designing and delivering enterprise-scale data solutions on Google Cloud Platform (GCP).

The ideal candidate should have deep hands-on knowledge of BigQuery, Python, SQL, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Dataplex, along with the ability to drive data architecture and provide technical leadership for complex data initiatives.

Mandatory Skills

• BigQuery
• Python
• SQL
• Dataflow
• Pub/Sub
• Dataplex

Key Responsibilities

• Design scalable and reliable data architectures on Google Cloud Platform.
• Define technical architecture for large-scale data ingestion, processing, transformation, and analytics solutions.
• Design and optimize enterprise data solutions using BigQuery.
• Develop and guide data-processing solutions using Python and SQL.
• Architect batch and streaming data-processing solutions using Dataflow.
• Work with Dataproc for large-scale data-processing workloads.
• Design event-driven and messaging-based data solutions using Pub/Sub.
• Design and manage data workflow orchestration using Cloud Composer.
• Use Dataplex to support data management and governance across the GCP data landscape.
• Provide technical leadership and architectural guidance to data engineering teams.
• Review solution designs and ensure scalability, reliability, maintainability, and performance.
• Collaborate with engineering, architecture, and business stakeholders to translate requirements into effective data solutions.

Required Candidate Profile

• 12–15 years of relevant experience in data engineering, data architecture, or related areas.
• Strong experience designing GCP-based data platforms and architectures.
• Deep technical knowledge of the GCP data ecosystem.
• Strong hands-on knowledge of BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Dataplex.
• Strong programming and data-querying experience using Python and SQL.
• Ability to provide technical leadership and architectural direction for complex data initiatives.
• Strong analytical, troubleshooting, design, and stakeholder-management skills.