Data Engineering Manager

Overview

We are seeking an experienced and visionary Data Engineering Manager to lead the strategy, innovation, and evolution of our enterprise data platform, with a strong focus on Generative AI (GenAI) capabilities within Google Cloud Platform (GCP). You will manage a high-performing data engineering team, guiding them in building scalable, high-performance data solutions, enabling analytics through Looker, and delivering production-grade systems that power data-driven decision-making and AI-enabled applications across the organization.

• Lead and manage the data engineering team, setting priorities, allocating resources, and ensuring successful delivery of strategic initiatives.
• Define and execute the company’s ETL and ELT strategy, optimizing data movement, transformation, and orchestration for efficiency, scalability, and cost-effectiveness.
• Architect and oversee the development of robust data pipelines using Big Query, Dataflow, Pub/Sub, and other GCP-native services.
• Drive the development of foundational infrastructure to support GenAI use cases (Microsoft Copilot/GCP Vertex AI) and emerging AI-driven capabilities.
• Partner with product, marketing, customer care, and other cross-functional teams to translate business needs into data- and AI-powered solutions.
• Ensure Looker models, dashboards, and governance processes enable self-service analytics across the enterprise.
• Champion engineering best practices including CI/CD, automated testing, and high-quality coding standards in Go and Python.
• Mentor, coach, and develop team members, building technical depth and leadership skills across the team.
• Ensure security, reliability, and performance across all data platforms and services.
• Serve as a thought leader and change agent, driving innovation and positioning the organization at the forefront of modern data engineering and AI.

• 3+ years in a management or team leadership role
• 8+ years of experience in data engineering
• Proven expertise in Google Cloud Platform (GCP):
  Big Query, Vertex AI, Dataflow, Cloud Functions, and Cloud Storage.
• Strong programming skills in Go and Python, with experience building scalable backend and data systems.
• Deep understanding of ETL/ELT architecture, data movement strategies, and large-scale data platform design.
• Experience with Generative AI tools and frameworks (Vertex AI, Gemini).
• Strong SQL skills and data modeling expertise for enterprise-scale data platforms.
• Experience with Looker (LookML modeling, dashboard design, governance).
• Excellent leadership, communication, and stakeholder management skills.

• Experience with containerized deployment (Docker, Kubernetes) and orchestration tools (Cloud Composer, Airflow).
• Proven ability to operate in agile, fast-paced environments while managing multiple priorities.
• Experience managing budgets, vendor relationships, and cloud cost optimization.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, disability or veteran status.