Senior GCP Data & AI Engineer (Remote, Lahore, Remittance Salary)

Requirements

• 6+ years of experience leading data engineering, data architecture, and AI solution development.
• Commercial experience with Google Cloud Platform (GCP), particularly BigQuery and Google Cloud Storage (GCS).
• Strong understanding of data modelling, schema design, data warehousing, lakehousing, and role-based access control (RBAC).
• Relevant GCP certification(s).
• Hands-on commercial experience with Gemini Enterprise and Generative AI, including AI agents, conversational analytics, RAG, and grounding.
• Knowledge of the Model Context Protocol (MCP) and experience with agent-based integrations.
• Experience with Looker, dashboard development, semantic modelling, and LookML.
• Strong proficiency in SQL and Python for data engineering and analytics development.
• Proven technical leadership, independent problem-solving, and delivery management skills.
• Excellent communication and stakeholder-management skills, with the ability to engage confidently with client heads and technical leads.

Responsibilities

• Connect, integrate, and model client data across multiple clouds and data sources using BigQuery and Google Cloud Storage (GCS).
• Design scalable data models and schemas, and implement role-based access control (RBAC) to ensure secure data access.
• Develop Gemini Enterprise capabilities, including conversational analytics, grounded search, Retrieval-Augmented Generation (RAG), and AI agents.
• Integrate the monday.com Gemini Enterprise agent and enable data connectivity across multiple sources.
• Develop AI-powered self-service analytics solutions for non-technical users using agent creation and the Model Context Protocol (MCP).
• Build and maintain governed analytics solutions using Looker and LookML to ensure reliability and consistency.
• Establish standardized, observable, and multi-tenant architectures to support reliable managed services.
• Lead technical implementations, review solutions, guide team members, and ensure high-quality delivery.
• Collaborate with client stakeholders and technical leaders to understand requirements and maintain strong working relationships.