Lead Principal Architect GCP

Fractal; Gurugram District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Fractal is seeking a seasoned Cloud Architect with deep Google Cloud Platform expertise to lead data engineering and global delivery initiatives. You will define strategic technology visions, engage with senior client leaders, and steer cross-functional teams across geographies.

Ideal candidates have 12+ years in data engineering and cloud-native development, with hands-on work in GCP tools, Python/Java, and DevOps practices.

Qualifications

• 12+ years of experience in Data Engineering and Cloud Native technologies.
• Extensive experience with GCP tools such as BigQuery, Cloud Composer, Dataflow, Cloud Storage, Vertex AI, and Dataproc.
• Expertise in building, deploying, configuring, and scaling applications on GCP serverless infra.
• Strong background in Data Engineering, Data Management, and Data Governance.

Responsibilities

• Evaluate the current technology landscape and define short- and long-term technology strategy.
• Engage with senior client leaders, understanding challenges and providing strategic guidance.
• Build and maintain relationships with stakeholders across Fractal and client teams.
• Proactively align client needs with Fractal’s value propositions and propose innovative solutions.
• Collaborate with offshore delivery teams to ensure seamless solution delivery.

Skills

GCP expertise

Data engineering

Cloud architecture

Python/Java

CI/CD DevOps

MLOps

Big data analytics

Docker

Kubernetes

Tools

BigQuery

Cloud Composer

Job description

Job Description:

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

• Evaluate the current technology landscape and recommend a forward-looking, short- and long-termtechnology strategic vision.
• Engage with senior technical leaders at the client site, becoming a trusted thought partner by understanding their challenges andprovidingstrategic guidance.
• Build andmaintainstrong relationships with senior client leaders and cross-functional stakeholders.
• Proactively understand client needs and align them with Fractal’s value propositions, proposing innovative and comprehensive solutions.
• Collaborate with offshore delivery teams and other multidisciplinary teams within Fractal to ensure seamless integration and delivery of solutions.

Delivery Leadership (Added Focus):

• Act as aDelivery Lead whenrequired, ensuring end-to-end ownership of solution execution, quality, timelines, and client satisfaction.
• Driveprogram-level governance, including planning, risk mitigation, and stakeholder communication across workstreams.
• Step in toresolve complex technical and delivery challenges, guiding teams through ambiguity and ensuringtimelyresolution.
• Providehands-on leadership during critical delivery phases, including architecture validation, performance optimization, and production issue resolution.
• Ensure alignment betweensolution architecture and delivery execution, balancing immediate delivery goals with long-term scalability and maintainability.
• Mentor and guide delivery teams, fostering strong engineering practices, accountability, and continuous improvement.
• Be willing to take a hands-on approach to understand complex contexts and underlying client requirements.
• Participate in the creation and sharing of best practices, technical content, and new reference architectures.
• Provide technical architecture leadership and direction on projects, ensuring secure, scalable, reliable, and maintainable platforms.
• Work with data engineers and data scientists to develop architectures and solutions.
• Assistin ensuring the smooth delivery of services, products, and solutions, while balancing immediate client needs with long-term technical strategy.

Skills & Requirements:

In-depth experience as an Architect withexpertisein Google Cloud Platform and a passion for applying the latest technologies to solve complex business problems. An ideal candidate would have:

• 12+ years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains.
• Extensive experience with GCP tools and technologies, includingBigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, andDataproc.
• Expertisein creating, deploying, configuring, and scaling applications on GCP serverless infrastructure.
• Strong knowledge and working experience in Data Engineering, Data Management, and Data Governance.
• Proventrack recordof delivering multiple end-to-end Data Engineering, Data Warehousing, or Analytics projects.
• Knowledge of general programming languages and frameworks, particularly Python and/or Java.
• Familiarity with general technology best practices and development lifecycles such as Agile and CI/CD, as well as DevOps andMLOpsfor more efficient data and machine learning pipelines.
• Ability to design and implement future-proof, complex global solutions using GCP services.
• Hands-on experience with foundational architectures, including microservices, event-driven systems, event streaming, and online machine learning systems.
• Excellent communication and influencing skills, with the ability to adapt messages to various audiences and build consensus.

Additional Delivery Expectations:

• Proven ability tolead large-scale delivery programs or workstreams in complex, client-facing environments.
• Experience managingcross-functional teams across geographies, ensuring alignment and delivery excellence.
• Strongproblem-solving mindsetwith the ability to dive deep into technical issues whilemaintaininga big-picture view.

Preferred Qualifications:

• Experience in container technologies, specifically Docker and Kubernetes.
• Experience or knowledge of DevOps on GCP.
• Google Cloud Professional Cloud Architect Certification.
• Demonstrated ability to navigate complex stakeholder environments and build strong, lasting relationships.
• Hands-on approach and willingness to delve into technical details to understand the full context of a problem and ensure the best solutions are provided.
• Experience with AWS, especially in the context of hybrid cloud setups.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!