Confidential Company is hiring for Senior Data Architect – Google Cloud Platform at India

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📌 Company Overview

The hiring organization is a well-established technology and consulting company delivering large-scale data, cloud, and digital transformation solutions for global enterprises. The company works with Fortune 500 clients across BFSI, healthcare, retail, telecom, and manufacturing domains and is known for its strong cloud engineering, analytics, and AI/ML capabilities.

💼 Job Description

Role: Senior Data Architect – Google Cloud Platform (GCP)

Location: India (Hybrid / Onsite depending on project)

Experience: 10 – 16 Years

As a Senior Data Architect, you will design and implement enterprise-grade data platforms on Google Cloud Platform. You will be responsible for defining data architecture, building scalable data pipelines, and ensuring best practices around performance, security, and governance.

Key Responsibilities

• Design end-to-end cloud data architectures on Google Cloud Platform.
• Build and optimize data pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub.
• Define data modeling standards for analytical and operational use cases.
• Lead data migration initiatives from on-premise or other clouds to GCP.
• Implement data governance, security, and compliance best practices.
• Collaborate with business stakeholders, data engineers, and analytics teams.
• Provide technical leadership and mentor junior architects and engineers.

Required Skills

• 10+ years of experience in data engineering and architecture roles.
• Strong expertise in Google Cloud Platform (BigQuery, Dataflow, Dataproc, Pub/Sub).
• Hands-on experience with SQL, Python, and data processing frameworks.
• Experience designing large-scale data lakes and data warehouses.
• Knowledge of streaming and batch data processing.
• Strong understanding of cloud security, IAM, and data governance.
• Experience with CI/CD pipelines and DevOps practices for data platforms.

💰 Salary & Compensation

The salary for a Senior Data Architect – GCP in India typically ranges between
₹35 LPA to ₹65 LPA, depending on experience, cloud expertise, certifications, and project complexity.
The compensation package may include performance bonuses, cloud certification sponsorships, health insurance, and other enterprise benefits.

📈 Company Trends & Market Demand

With increasing adoption of cloud-native analytics and AI-driven decision systems, demand for GCP Data Architects is growing rapidly. Organizations are investing heavily in modern data platforms, real-time analytics, and AI/ML workloads, making this role strategically critical.

👨‍💻 How to Prepare for This Role

• GCP Mastery: Deepen knowledge of BigQuery optimization, partitioning, and cost control.
• Architecture Design: Practice designing scalable, fault-tolerant data architectures.
• Data Engineering: Strengthen batch and streaming pipeline design skills.
• Security & Governance: Understand data privacy, IAM, encryption, and compliance.
• Certifications: Prepare for Google Professional Data Engineer certification.
• Leadership: Be ready to discuss mentoring, stakeholder management, and solution ownership.

🏢 Company Culture & Work Environment

The company promotes a professional, innovation-driven culture with a strong emphasis on learning, cloud certifications, and technical excellence. Teams typically work in agile environments with exposure to global clients and large-scale enterprise data systems.

✔️ Pros & Cons

📍 Final Thoughts

This Senior Data Architect – GCP role is ideal for experienced data professionals who enjoy designing enterprise-scale cloud solutions and leading technical strategy. With strong demand for cloud data expertise, this position offers long-term career growth, high impact, and exposure to modern analytics and AI ecosystems.