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Job Description: 

• 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 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 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, you'll enjoy your career with us!

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