Lead Architect- GCP

Fractal; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

A leading AI and Data consulting firm in Bengaluru is seeking a seasoned Data Engineering expert with 11 - 16 years of experience in Cloud Native technologies, specifically with Google Cloud Platforms. Responsibilities include evaluating technology landscapes, developing architectures, and working collaboratively with data teams to ensure seamless service delivery. The ideal candidate possesses strong knowledge of data engineering practices, programming languages, and is experienced in container technologies like Docker and Kubernetes.

Qualifications

• 11 - 16 years of experience in Data Engineering & Cloud Native technologies.
• Experience with Google Cloud Platform services including BigQuery and Data Flow.
• Knowledge of programming languages such as Python and Java.

Responsibilities

• Evaluate current technology landscape and recommend future strategies.
• Develop architectures & solutions with data engineers and data scientists.
• Ensure smooth delivery of services/products and solutions.

Skills

Data Engineering

Cloud Native technologies

Google Cloud Platforms

Python

Java

Agile methodologies

DevOps

MLOps

Communication skills

Tools

GCP

BigQuery

Cloud Composer

Data Flow

Cloud Storage

AI Platform/Vertex AI

Dataproc

Docker

Kubernetes

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing! We are committed to bringing passion and customer focus to the business. Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and bring AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute. Cloud, Data, and AI technologies are seeing tremendous innovation and are driving digital transformation across all the enterprises at an unprecedented pace (more than 100%). At Fractal, we are helping enterprises to harness the power of Data on a cloud through Architecture consulting, Data Platforms, Business-Tech platforms, Marketplaces, Data governance, MDM, DataOps, AI/MLOps. In addition, we leverage AI engineering practices to augment each of the areas.

Responsibilities

• Evaluate the current technology landscape and recommend a forward‑looking, short, and long‑term technology strategic vision.
• Participate in the creation and sharing of best practices, technical content, and new reference architectures.
• Work with data engineers and data scientists to develop architectures & solutions.
• Assist in ensuring the smooth delivery of services/products, solutions.

Skills & Requirements

• 11 - 16 years of experience in Data Engineering & Cloud Native technologies (including Google Cloud Platforms) that cover the big data, analytics and AI/ML domain, essential with experience using GCP.
• Experience with BigQuery, Cloud Composer, Data Flow, Cloud Storage, AI Platform/Vertex AI, Dataproc, 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 of working in multiple end‑to‑end Data Engineering and/or analytics projects.
• Knowledge of general programming languages and frameworks, in particular Python and/or Java.
• General technology best practices and development lifecycles such as agile and CI/CD, and those enabling more efficient employment of data and machine learning (DevOps and MLOps).
• 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, and those that enable online machine learning systems.
• Excellent communication and influencing skills, being able to adapt according to target audience.

Good To Have

• Experience in container technology, specifically Docker and Kubernetes, DevOps on GCP.
• Google Cloud - Professional Cloud Architect Certification.