GCP Data Engineer

Data Engineering & Design

Lead the architectural design and implementation of Google Cloud Platform data solutions, with a deep focus on integrating and optimizing the Google CCAI suite (e.g., Dialog Flow, Agent Assist, CCAI Insights, CCAI Platform) data and developing on the Looker Platform.
Ensure the successful deployment and scaling of cloud-native data pipelines and services, adhering to best practices in security, reliability, and performance.
Develop comprehensive data adoption strategies, including migration plans, governance models, and cost optimization initiatives.
Stay current with Google Cloud advancements and recommend new services and features to enhance client data solutions.
Google CCAI & Looker Implementation & Optimization
Specialize in the end-to-end implementation and configuration of data pipelines for Google CCAI products, translating business requirements into technical data solutions.
Oversee the integration of CCAI data with existing contact center infrastructure, CRM systems, and other enterprise applications, ensuring data quality and availability.
Design, develop, and maintain Looker models, dashboards, and reports to provide actionable insights from CCAI and other business data.
Provide expert guidance on leveraging CCAI and Looker capabilities for improved customer experience,agent efficiency, and operational insights.
Troubleshoot complex technical issues related to CCAI data processing and Looker deployments and provide hands-on support for resolution.

Technical Leadership & Mentorship

Serve as a subject matter expert in Google Cloud data architecture, the Google CCAI suite, and Looker Platform, providing technical leadership to project teams.
Mentor and guide other engineers and architects on best practices for cloud data solution design, implementation, and operations.
Lead technical workshops and training sessions for internal teams and clients on Google Cloud, CCAI data and Looker technologies.

Client Engagement & Partnership

Collaborate closely with clients to understand their business challenges and translate them into effective, scalable cloud data and analytics solutions.
Present complex technical concepts to both technical and non-technical audiences, articulating the business value of proposed data solutions.
Support pre-sales activities, including solutioning, effort estimation, and technical proposal development.
Build and maintain strong relationships with Google Cloud representatives and partners.

Competencies

Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree
(Master’s) is a significant asset.
Google Certified Professional Data Engineer certification is required
5+ years of experience in cloud data architecture and engineering, with a strong focus on Google Cloud Platform.
Proven experience in implementing and optimizing data solutions for the Google Contact Center AI (CCAI) suite (Dialogflow, Agent Assist, CCAI Insights, CCAI Platform).
Demonstrated experience in developing and administering the Looker Platform, including LookML development, dashboard creation, and user management.
Deep understanding of cloud data warehousing (e.g., BigQuery), data lakes (e.g., Cloud Storage), data processing (e.g., Dataflow, Dataproc, Cloud Composer), and ETL/ELT methodologies on GCP.
Experience with Infrastructure as Code (e.g., Terraform, Cloud Deployment Manager) and CI/CD pipelines.
Strong understanding of customer experience design, contact center operations, and key CX metrics.
Excellent communication, presentation, and interpersonal skills, with the ability to influence and collaborate across diverse stakeholders.
Strong problem-solving abilities and a practical, hands-on approach to complex technical challenges.
Ability to work independently and as part of a high-performing team in a fast-paced environment.

GCP Data Engineer