Architect - Data Engineer

We are one of the most prominent players in the Artificial Intelligence space. Our mission is to power every human decision in the enterprise and bring AI, engineering, and design to help the world's most admired Fortune 500 companies. We have consistently been rated among India's best companies to work for. Cloud, Data, and AI technologies are seeing tremendous innovation and are driving digital transformation across enterprises at an unprecedented pace (more than 100%). We help enterprises harness the power of Data on the cloud through Architecture Consulting, Data Platforms, Business-Tech Platforms, Marketplaces, Data Governance, MDM, DataOps, and AI/MLOps. In addition, we leverage AI engineering practices to augment each of these areas.
Responsibilities:
Evaluate the current technology landscape and recommend a forward-looking, short-term, and long-term technology strategic vision.
You will participate in the creation and sharing of best practices, technical content, and new reference architectures.
Work with data engineers and data scientists to develop architectures and solutions.
Assist in ensuring the smooth delivery of services/products and solutions.
Requirements:
In-depth experience as an Architect who has experience in Google Cloud Platform and is passionate about applying the latest technologies to solve business problems. An ideal candidate would have:
9-12 years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platform) that cover the Big Data, Analytics, and AI/ML domains, with hands-on experience using GCP.
Experience in BigQuery, Cloud Composer, Dataflow, 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 working on 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, as well as practices enabling more efficient use 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.
Implementation and/or creation of foundational architectures, including microservices, event-driven and event-streaming architectures, and those that enable online machine learning systems.
Excellent communication and influencing skills, with the ability to adapt according to the target audience.
Experience with container technologies, specifically Docker and Kubernetes, and DevOps on GCP.
Google Cloud - Professional Cloud Architect Certification.

Experience
9-13 yrs