GCP Data Architect - S

Tata Consultancy Services Limited; Chennai; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services Limited in Chennai seeks a seasoned Data Architect to design and implement scalable, secure data architectures on Google Cloud Platform. You will define data models, build data ecosystems, and guide cross-functional teams in data-driven solutions.

The role covers governance, real-time processing, and cloud modernization, with collaboration across stakeholders and solution architects to deliver high-impact data platforms.

Qualifications

• 10+ years of experience in data engineering, data architecture, or cloud data platform development.
• 6+ years of hands-on experience architecting solutions on Google Cloud Platform (GCP).
• Strong expertise in: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Cloud Composer, BigLake, Data Fusion, Looker.
• Proficiency in SQL and programming languages such as Python, Java, or Scala.
• Experience designing ETL/ELT frameworks and large-scale data pipelines.
• Knowledge of real-time data processing and event-driven architectures.
• Hands-on experience with data migration and modernization projects.
• Familiarity with IaC tools such as Terraform.
• Experience with Git-based version control systems and CI/CD pipelines.

Responsibilities

• Design and implement scalable, secure, and high-performance data architectures on GCP.
• Define enterprise data models, data integration frameworks, and data management strategies.
• Architect and build modern data platforms leveraging GCP native services.
• Develop and maintain data lakes, data warehouses, and real-time data processing solutions.
• Collaborate with business stakeholders, data engineers, analytics teams, and solution architects to understand requirements and deliver data-driven solutions.
• Establish data governance, metadata management, data quality, and security standards.
• Design batch and streaming data pipelines for structured and unstructured data.
• Optimize data storage, processing performance, and cloud infrastructure costs.
• Drive architecture reviews and provide technical leadership to implementation teams.
• Ensure compliance with organizational, industry, and regulatory requirements.
• Create and maintain architecture documentation, standards, and best practices.
• Support cloud migration and modernization initiatives involving on-premise and cloud-based data systems.

Skills

Data architecture

SQL

Python

Java

Scala

Data modeling

ETL/ELT

Real-time processing

Event-driven

Git CI/CD

Education

Bachelor's or Master's in CS/IT/Engineering/Data Science

Tools

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Dataproc

Cloud Composer

BigLake

Data Fusion

Looker

Terraform

Job description

Key Responsibilities

• Design and implement scalable, secure, and high-performance data architectures on GCP.


• Define enterprise data models, data integration frameworks, and data management strategies.


• Architect and build modern data platforms leveraging GCP native services.


• Develop and maintain data lakes, data warehouses, and real-time data processing solutions.


• Collaborate with business stakeholders, data engineers, analytics teams, and solution architects to understand requirements and deliver data-driven solutions.


• Establish data governance, metadata management, data quality, and security standards.


• Design batch and streaming data pipelines for structured and unstructured data.


• Optimize data storage, processing performance, and cloud infrastructure costs.


• Drive architecture reviews and provide technical leadership to implementation teams.


• Ensure compliance with organizational, industry, and regulatory requirements.


• Create and maintain architecture documentation, standards, and best practices.


• Support cloud migration and modernization initiatives involving on-premise and cloud-based data systems.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.


• 10+ years of experience in data engineering, data architecture, or cloud data platform development.


• 6+ years of hands‑on experience architecting solutions on Google Cloud Platform (GCP).


• Strong expertise in:




• BigQuery


• Cloud Storage


• Dataflow


• Pub/Sub


• Dataproc


• Cloud Composer


• BigLake


• Data Fusion


• Looker




• Strong knowledge of data warehousing, dimensional modeling, data lakes, and lakehouse architectures.


• Proficiency in SQL and programming languages such as Python, Java, or Scala.


• Experience designing ETL/ELT frameworks and large-scale data pipelines.


• Knowledge of real-time data processing and event-driven architectures.


• Hands-on experience with data migration and modernization projects.


• Familiarity with Infrastructure as Code (IaC) tools such as Terraform.


• Experience with Git-based version control systems and CI/CD pipelines.