Senior GCP Data & AI Engineer (Remote, Lahore, Remittance Salary)
Hiring Talent Globally
Lahore , Pakistan
Posted Oct 18, 2026 51 views
We are seeking an experienced Data Engineering and AI Solutions Lead with over six years of expertise in data architecture, engineering, and AI development. The ideal candidate will have a strong background in Google Cloud Platform (GCP), particularly with BigQuery and Google Cloud Storage (GCS), and hands-on experience with advanced AI technologies such as Gemini Enterprise and Generative AI. This role requires a combination of technical leadership, problem-solving skills, and the ability to manage complex data environments while collaborating effectively with clients and internal teams.
Key Responsibilities
- Connect, integrate, and model client data across multiple cloud platforms and diverse data sources using BigQuery and GCS.
- Design scalable and efficient data models and schemas, implementing role-based access control (RBAC) to ensure secure and compliant data access.
- Develop and enhance Gemini Enterprise capabilities, including conversational analytics, grounded search, Retrieval-Augmented Generation (RAG), and AI agents.
- Integrate the monday.com Gemini Enterprise agent and enable seamless data connectivity across various sources.
- Create AI-powered self-service analytics solutions tailored for non-technical users by leveraging agent creation and the Model Context Protocol (MCP).
- Build and maintain governed analytics solutions using Looker and LookML to guarantee reliability, consistency, and ease of use.
- Establish standardized, observable, and multi-tenant architectures that support scalable and reliable managed services.
- Lead technical implementations, conduct solution reviews, mentor team members, and ensure the delivery of high-quality outcomes.
- Collaborate closely with client stakeholders and technical leaders to gather requirements, provide updates, and maintain strong professional relationships.
Required Qualifications
- Minimum of 6 years’ experience in leading data engineering, data architecture, and AI solution development projects.
- Proven commercial experience with Google Cloud Platform, especially BigQuery and Google Cloud Storage.
- Strong expertise in data modeling, schema design, data warehousing, lakehousing, and implementing role-based access control (RBAC).
- Relevant GCP certification(s) demonstrating proficiency in cloud technologies.
- Hands-on commercial experience with Gemini Enterprise and Generative AI technologies, including AI agents, conversational analytics, Retrieval-Augmented Generation (RAG), and grounding techniques.
- Knowledge of the Model Context Protocol (MCP) and practical experience with agent-based integrations.
- Experience with Looker, dashboard development, semantic modeling, and LookML.
- Advanced proficiency in SQL and Python for data engineering and analytics development.
- Demonstrated technical leadership abilities, independent problem-solving skills, and experience managing delivery timelines.
- Excellent communication and stakeholder management skills, with the confidence to engage effectively with client heads and technical leads.
Preferred Qualifications and Benefits
While not explicitly stated, candidates with additional certifications or experience in multi-cloud environments, advanced AI frameworks, or project management methodologies will be well-positioned for success. This role offers the opportunity to work on cutting-edge AI and data engineering projects, collaborate with diverse teams, and influence the strategic direction of client data solutions.
If you are passionate about driving innovation in data and AI, possess strong leadership skills, and thrive in a dynamic environment, this position offers a rewarding career path with significant impact.
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