Lead/ Principal Architect GCP

Department Icon Data Science Analytics & Machine Learning
Posted: 1 week ago
12-14 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 5 Jan 2027

Posted: 1 week ago
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Job Description

  • Its fun to work in a company where people truly BELIEVE in what they are doing!
  • Were committed to bringing passion and customer focus to the business.
  • Evaluate the current technology landscape and recommend a forward-looking, short- and long-term technology strategic vision.
  • Engage with senior technical leaders at the client site, becoming a trusted thought partner by understanding their challenges and providing strategic guidance.
  • Build and maintain strong relationships with senior client leaders and cross-functional stakeholders.
  • Proactively understand client needs and align them with Fractals 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 a Delivery Lead when required, ensuring end-to-end ownership of solution execution, quality, timelines, and client satisfaction.
  • Drive program-level governance, including planning, risk mitigation, and stakeholder communication across workstreams.
  • Step in to resolve complex technical and delivery challenges, guiding teams through ambiguity and ensuring timely resolution.
  • Provide hands-on leadership during critical delivery phases, including architecture validation, performance optimization, and production issue resolution.
  • Ensure alignment between solution 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.
  • Assist in 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 with expertise in 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, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc.
  • Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure.
  • Strong knowledge and working experience in Data Engineering, Data Management, and Data Governance.
  • Proven track record of 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 and MLOps for 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 to lead large-scale delivery programs or workstreams in complex, client-facing environments.
  • Experience managing cross-functional teams across geographies, ensuring alignment and delivery excellence.
  • Strong problem-solving mindset with the ability to dive deep into technical issues while maintaining a 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, youll enjoy your career with us!

Not the right fit Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Skills

Big DataPythonData GovernanceData WarehousingMachine LearningAi/mlAnalyticsData ManagementAiGoogle CloudMlMlopsVertex Ai

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About Company

Fractal Analytics is a global analytics company that helps businesses make better decisions. They use advanced analytics and AI to provide insights and solutions across multiple industries. They are known for their data-driven approach and strong team of experts.

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