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Data Architect – Google Cloud & BigQuery Expert Job in Delhi | 10–16 Years Experience
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Data Architect – Google Cloud & BigQuery Expert Job in Delhi | 10–16 Years Experience

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Data Architect – Google Cloud & BigQuery Expert Career Opportunity in Delhi

Introduction

In today’s digital economy, businesses rely heavily on data to drive innovation, operational efficiency, and strategic decision-making. The role of a Data Architect has become critical in shaping how enterprises collect, store, manage, and analyze data at scale. If you are an experienced professional with a strong background in Google Cloud Platform (GCP), BigQuery, data engineering, and big data frameworks, this opportunity in Delhi offers an exciting chance to lead transformative projects.

This article provides a comprehensive overview of the Google Data Architect / Big Data Architect role, the responsibilities, required skills, and why this position represents a significant step forward for technology leaders aiming to make an impact in the evolving data landscape.

Role Overview

The Data Architect – Google / BigQuery Architect will be responsible for designing and implementing robust, scalable, and secure data platforms on Google Cloud. This role goes beyond technical execution — it requires strategic thinking, leadership, and the ability to collaborate with cross-functional teams including data engineers, analysts, and AI/ML specialists.

The professional in this role will leverage a wide range of GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, and Looker to create high-performance architectures that enable both real-time analytics and advanced machine learning use cases.

Key Responsibilities

1. Data Architecture Design

  • Lead the design, development, and optimization of data pipelines, data lakes, and data warehouses.

  • Ensure scalability and high availability by leveraging GCP native services like BigQuery for analytics, Dataflow for ETL/ELT, and Pub/Sub for real-time streaming.

  • Implement data security and compliance frameworks to meet industry regulations and organizational governance standards.

2. Data Pipeline Development & Automation

  • Build and manage end-to-end ETL/ELT processes using Cloud Composer (Apache Airflow) and Dataflow.

  • Automate workflows to streamline data ingestion, transformation, and loading into BigQuery and other data repositories.

  • Integrate multiple structured and unstructured data sources for seamless reporting and analytics.

3. Advanced Analytics & AI/ML Enablement

  • Collaborate with data scientists and analysts to prepare datasets for advanced analytics, machine learning, and predictive modeling.

  • Support real-time and batch processing needs, ensuring that AI/ML use cases are powered by high-quality and well-structured data.

  • Optimize feature engineering pipelines using Spark, Hadoop, and Databricks.

4. Big Data & Cloud Expertise

  • Develop big data solutions using Hadoop, Spark, Hive, Kafka, and Dataproc.

  • Manage streaming data frameworks for real-time analytics and event-driven architectures.

  • Work across multi-cloud ecosystems (AWS, Azure, GCP), ensuring interoperability and hybrid deployment flexibility.

5. Collaboration & Leadership

  • Partner with stakeholders to understand business objectives and translate them into data-driven solutions.

  • Provide architectural guidance and mentorship to engineers and analysts within the team.

  • Maintain documentation and ensure best practices for long-term scalability and performance.

Required Skills & Competencies

To excel in this role, candidates must demonstrate a combination of technical expertise, problem-solving skills, and leadership qualities.

  • Core Expertise in GCP Services: BigQuery, Dataflow, Pub/Sub, Dataproc, Looker, Cloud Composer.

  • Big Data Frameworks: Spark, Hadoop, Hive, Kafka.

  • Programming Skills: Python (preferred for scripting and automation), SQL (for advanced querying and optimization).

  • ETL/ELT Development: Hands-on experience building complex data pipelines and workflows.

  • Multi-Cloud Proficiency: Exposure to Azure and AWS data services for hybrid and multi-cloud strategies.

  • AI/ML Readiness: Understanding of feature engineering, preprocessing, and enabling ML workloads.

  • Data Governance: Strong knowledge of security protocols, compliance requirements, and data quality frameworks.

  • Collaboration & Communication: Ability to work with data scientists, business analysts, and stakeholders to align architecture with business goals.

Desired Candidate Profile

  • Education: Bachelor’s degree in Computer Science, Engineering, or related fields (BCA, B.Sc. Computer Science, B.E. in Computer Engineering).

  • Experience: 10–16 years of progressive experience in data architecture, data engineering, or related roles.

  • Industry Knowledge: Familiarity with enterprise-level data challenges in sectors like BFSI, Retail, Healthcare, and Telecom is highly advantageous.

Why This Role is Important

The Data Architect role in Delhi is not just a technical position — it is a strategic role that drives business success. Companies across industries are dealing with exponential data growth, and the ability to extract meaningful insights is a competitive differentiator.

A skilled Google Data Architect ensures:

  • Faster decision-making through optimized data pipelines.

  • Cost efficiency by designing architectures that leverage GCP’s serverless and pay-as-you-go model.

  • Business innovation by enabling AI/ML projects and advanced analytics.

  • Regulatory compliance with robust governance frameworks.

In essence, the Data Architect becomes the backbone of the organization’s digital transformation journey.

Career Growth Opportunities

Professionals who step into this role open pathways to senior leadership and specialized technology positions:

  • Chief Data Officer (CDO) – Strategic leadership over all data initiatives in the organization.

  • Enterprise Data Architect – Leading enterprise-wide architecture spanning multiple domains and regions.

  • AI/ML Solution Architect – Driving AI-enabled transformations with deep integration of machine learning solutions.

  • Cloud Strategy Leader – Overseeing multi-cloud data strategies and digital transformation programs.

Industry Trends Influencing the Role

1. Cloud-Native Data Warehousing

Platforms like BigQuery are redefining enterprise data warehousing by offering scalability, real-time querying, and serverless deployment.

2. Real-Time Analytics

With increasing demand for streaming insights, tools like Pub/Sub and Kafka are becoming essential for modern Data Architects.

3. AI/ML Integration

Organizations are embedding predictive and prescriptive analytics into business operations. Data Architects ensure data pipelines can support ML model training and inference.

4. Multi-Cloud Strategies

Enterprises no longer rely on a single provider. Professionals with experience in GCP, AWS, and Azure gain a significant advantage in architecture leadership roles.

5. Data Security & Compliance

As regulations like GDPR and India’s DPDP Act evolve, Data Architects must design solutions that prioritize data privacy, encryption, and compliance readiness.

Why Choose This Opportunity in Delhi

Delhi is not just the political capital of India — it is also an emerging technology hub. With increasing investments in IT infrastructure, cloud adoption, and AI-driven businesses, professionals in this region will find abundant opportunities to work on cutting-edge projects across industries.

Moreover, being at the heart of India’s corporate and governmental ecosystem, Data Architects in Delhi will be at the forefront of national-level digital transformation initiatives.

Conclusion

The Data Architect – Google / BigQuery Architect role in Delhi is ideal for professionals looking to make a meaningful impact in the world of cloud-driven data architecture. With responsibilities spanning data pipeline design, automation, big data frameworks, and AI/ML enablement, this role is both challenging and rewarding.

Candidates with 10–16 years of experience, strong expertise in GCP services, and proficiency in big data technologies will find this opportunity perfectly aligned with their career growth ambitions.

If you are passionate about transforming data into a strategic asset, this position offers not only technical challenges but also the chance to play a leadership role in shaping the future of data-driven enterprises.

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