Data Architect - Google Cloud Platform (4-6 yrs)

Responsibilities :

- Collaborate with the sales team to understand customer challenges and business objectives and propose solutions, POC etc.

- Develop and deliver impactful technical presentations and demos showcasing the capabilities of GCP Data and AI , GenAI Solutions.

- Conduct technical proof-of-concepts (POCs) to validate the feasibility and value proposition of GCP solutions.

- Collaborate with technical specialists and solution architects from COE Team to design and configure tailored cloud solutions.

- Manage and qualify sales opportunities, working closely with the sales team to progress deals through the sales funnel.

- Stay up to date on the latest GCP offerings, trends, and best practices.

Experience :

- Design and implement a comprehensive strategy for migrating and modernizing existing relational on-premise databases to scalable and cost-effective solution on Google Cloud Platform ( GCP).

- Design and Architect the solutions for DWH Modernization and experience with building data pipelines in GCP.

- Strong Experience in BI reporting tools ( Looker, PowerBI and Tableau).

- In-depth knowledge of Google Cloud Platform (GCP) services, particularly Cloud SQL, Postgres, Alloy DB, BigQuery, Looker Vertex AI and Gemini (GenAI).

- Strong knowledge and experience in providing the solution to process massive datasets in real time and batch process using cloud native/open source Orchestration techniques.

- Build and maintain data pipelines using Cloud Dataflow to orchestrate real-time and batch data processing for streaming and historical data.

- Strong knowledge and experience in best practices for data governance, security, and compliance.

- Excellent Communication and Presentation Skills with ability to tailor technical information as per customer needs.

- Strong analytical and problem-solving skills.

- Ability to work independently and as part of a team.