Lead Architect- GCP

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.

• Define and drive enterprise data architecture strategy aligned with business objectives and technology roadmaps.
• Evaluate current technology landscapes and recommend short-term and long-term architecture modernization plans.
• Lead the design and implementation of scalable cloud-native data platforms on Google Cloud Platform.
• Provide technical leadership and architectural guidance across multiple client engagements and delivery teams.
• Collaborate with data engineers, data scientists, and business stakeholders to design innovative data, analytics, AI, and ML solutions.
• Establish architecture standards, best practices, reusable frameworks, and reference architectures.
• Conduct architecture reviews and ensure compliance with enterprise security, governance, and operational standards.
• Design modern data architectures including Data Lakes, Lakehouse Platforms, Data Warehouses, Data Mesh, and Real-Time Analytics solutions.
• Drive adoption of DataOps, DevOps, CI/CD, Infrastructure-as-Code, and MLOps practices.
• Mentor and coach technical leads, architects, and engineering teams.
• Engage with client stakeholders to provide consulting, solution recommendations, and technology advisory services.
• Ensure successful delivery of scalable, secure, reliable, and maintainable platforms and solutions.

• In depth experience as an Architect who has experience in Google Cloud Platform and is passionate about applying latest technologies to solve business problems. An ideal candidate would have:
• 14+ years of experience in Data Engineering & Cloud Native technologies (including Google Cloud Platforms) that cover the big data, analytics and AI/ML domain is essential with experience using GCP
• Experience in 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 but also those enabling more efficient employment of data and machine learning such as 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.
• Experience designing governance frameworks, data quality controls, metadata management, and lineage solutions.
• Strong understanding of cloud security principles, IAM, encryption, privacy, and regulatory compliance.
• Experience implementing enterprise-grade data security and governance controls on GCP.
• 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.

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

India: [email protected]

Outside India: [email protected]

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