Job Roles And Responsibilities

- Own end-to-end offerings in the GCP data domain leveraging AI / Agentic technologies.

all the way until submitting the response to the client.
- Gaining an understanding of our Current State and Target State Architecture and then working to define a strategy for our technical direction.
- Gather and analyse requirements from product owners.
- Develop target state cloud Architecture leveraging AI / Agentic technologies. for highly scalable and fault-tolerant applications to be reliable, massively scalable, highly available (99.999% uptime), and maintainable.
- Collaborate with the security architect and seek advice in support of application security, Data Security, to ensure Confidentiality, Integrity & Availability.
- Assess project requirements related to IT Infrastructure including correlation with client’s data security policy and standards.
- Collaborate and identify gaps in the solution to meet project requirements and work with relevant stakeholders to mitigate the risks.
- Responsible for leading GCP data and infrastructure assessments
- Create the offering artifacts – SoWs, Proposals, Pricing,



and solution defence documents
- Advise teams of IT technology regarding standard requirements, methodology and processes
- Participates in proof of concepts to assist in defining technology direction and enabling business strategy

Technical Skills Required

- Minimum 5 years hands-on designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services like, Cloud DataProc, Cloud Dataflow, Cloud BigQuery, Cloud PubSub, Cloud Functions.
- Terraform, Python / Java Programming and SQL / Linux scripting Skills.
- Working knowledge of GCP native AI / Agentic services
- Planning and designing data architectures on GCP, including selecting appropriate data storage solutions such as Bigtable, BigQuery, Cloud SQL, and Cloud Spanner.
- Migrating data from on-premises or other cloud platforms to GCP.
- Creating and managing data pipelines for data ingress, transformation, and egress using GCP data services such as Dataflow, Dataproc, and Cloud Data Loss Prevention.

📌 Cloud DataArchitect (Chennai)
🏢 Virtusa
📍 Chennai