Lead Architect - GCP DE

Fractal Analytics · Bengaluru

  • Experience10–14 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Fractal Analytics

Fractal Analytics is hiring in Bengaluru in technology software. This role looks for around 10+ years of experience.

Skills

  • Google Cloud Platform
  • Data Engineering
  • Cloud Native technologies
  • Big Data
  • Analytics
  • AI/ML
  • BigQuery
  • Cloud Composer
  • Dataflow
  • Cloud Storage
  • Vertex AI
  • Dataproc
  • GCP IaaS
  • Data Management
  • Data Governance
  • Python
  • Java
  • Agile
  • CI/CD
  • DevOps
  • MLOps
  • microservices
  • event-driven architectures
  • event-streaming architectures
  • Docker
  • Kubernetes
  • Google Cloud Professional Cloud Architect Certification

The role

A cloud data architect at a technology software company designs scalable platforms using Google Cloud Platform and leads Data Engineering and Data Governance for enterprise analytics and AI/ML solutions. The role applies BigQuery, Dataflow, and Vertex AI to create cloud-native architectures and guides DevOps practices.

Full job description

Our mission is to power every human decision in the enterprise and bring AI, engineering, and design together to help the world's most admired Fortune 500 companies. Cloud, Data, and AI technologies are seeing tremendous innovation and are driving digital transformation across enterprises at an unprecedented pace (more than 100%). We help enterprises harness the power of data on the cloud through Architecture Consulting, Data Platforms, Business-Tech Platforms, Marketplaces, Data Governance, MDM, DataOps, and AI/MLOps. In addition, we leverage AI engineering practices to augment each of these areas.

Responsibilities:

Evaluate the current technology landscape and recommend a forward-looking, short-term, and long-term technology strategic vision.

Participate in creating and sharing best practices, technical content, and new reference architectures.

Work with data engineers and data scientists to develop architectures and solutions.

Assist in ensuring the smooth delivery of services/products and solutions.

Requirements:

In-depth experience as an Architect who has experience in Google Cloud Platform and is passionate about applying the latest technologies to solve business problems.

11+ years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platform) covering Big Data, Analytics, and AI/ML domains, with hands-on experience using GCP.

Experience in BigQuery, Cloud Composer, Dataflow, Cloud Storage, AI Platform/Vertex AI, Dataproc, and GCP IaaS; creating, deploying, configuring, and scaling applications on GCP serverless infrastructure.

Knowledge and working experience in Data Engineering, Data Management, and Data Governance.

Experience working on multiple end-to-end Data Engineering and/or Analytics projects.

Knowledge of general programming languages and frameworks, particularly Python and/or Java.

Understanding of general technology best practices and development lifecycles, such as Agile and CI/CD, as well as DevOps and MLOps practices that enable more efficient use of data and machine learning.

Technical architecture leadership and direction on projects resulting in secure, scalable, reliable, and maintainable platforms.

Architecture skills that enable the creation of future-proof, complex global solutions using GCP services.

Implementation and/or creation of foundational architectures, including microservices, event-driven and event-streaming architectures, and architectures that enable online machine learning systems.

Excellent communication and influencing skills, with the ability to adapt according to the target audience.

Experience with container technologies, specifically Docker and Kubernetes, and DevOps on GCP.

Google Cloud - Professional Cloud Architect Certification.