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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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