Description

Skills : GCP, Terraform, Cloudrun, Python, GenAI

This role is pivotal in transforming complex system-level data into high-quality, AI-ready data products. The ideal candidate will bridge the gap between backenddata orchestration and frontend application development within a robust Google Cloud Platform (GCP) environment.

Core Responsibilities

● Data Translation & Modeling: Translate complex system level data into

business friendly entities and semantic models. Design models to enable

Generative AI and Agentic AI ready datasets and presentation ready data

products within GCP.

● Full Stack & Orchestration: Build and maintain the orchestration, serving,

and API integration layers. Leverage Cloud Dataflow for stream and batch

processing, and Pub/Sub for real-time messaging to support autonomous

agent workflows.

● CI/CD & Infrastructure as Code: Implement and manage robust CI/CD

pipelines using GitHub Actions. Automate infrastructure provisioning using

Terraform and manage GitHub branching strategies (Dev, Stage, Prod).

● Data Lifecycle Management: Perform discovery, preparation, and

integration of datasets for MVP and production use. Integrate requirements

with existing enterprise data landing platforms, in both structured and

unstructured data formats.

● AI & Agentic Integration: Work closely with Vertex AI to deploy and

manage machine learning models. Design data structures that support

agentic reasoning, tool calling, and long term memory.

● Governance & Documentation: Develop and maintain data dictionaries and

metadata documentation to ensure observability and high data quality for

autonomous system grounding.

● Strategic Collaboration: Participate in discovery sessions and prototyping

phases, mapping end-to-end customer journeys to specific data

requirements in collaboration with cross-functional teams.

Technical Skills & Qualifications

● Development: Proficiency in Full Stack development with a strong

emphasis on software engineering components (orchestration and serving

layers).

● Data Engineering: Strong experience in data pipeline development using

SQL, Python, Cloud Run, Cloud Functions and Cloud Composer

● Data Governance Framework: Deep technical knowledge of Data

Governance Framework, Data Quality, Metadata Management and Data

Security.

● AI & Agentic AI: Experience preparing datasets for Vertex AI and building

data foundations for Agentic AI frameworks (reasoning, planning, and

execution).

● Automation & IaC: Expert-level experience with GitHub Actions for CI/CD

and Terraform for infrastructure management.

● Modeling: Expertise in dimensional data modeling, semantic layers, and

metadata management.

● Application Integration: Expertise in integrating with, and serving to,

• 3rd-party applications and web portals

Key Skills

Education

Any Graduate