Senior Director, Engineering, Data Integration

As Senior Director, Engineering, you will be responsible for leading teams of engineers in the development and delivery of Apache Airflow, Data Engineering Agents and other Data Integration and Orchestration services at GCP as part of Google Data Cloud. You will work closely with product managers, designers, and other stakeholders to develop managed airflow, data engineering agents, and similar OSS offerings for machine learning, data ingestion and data integration services for analytics workloads. You'll support Open APIs such as Airflow, Iceberg and MLFlow etc., to develop market leading services that embrace openness, while leveraging GCP’s unique data and infrastructure advantages. In this role, you will set and communicate a clear technical direction that supports our business goals, drive standards for engineering excellence that lead to scale and customer satisfaction, and effectively collaborate with other leaders across various functions and execution areas. As Google Cloud embraces differences of opinion and a culture of respect, you will be able to mentor other leaders and individual contributors and become a great cultural addition. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $364000 - $505000 (USD) + 40% bonus target + equity + benefits Learn more about benefits at Google .

Lead a globally distributed team with laser focus on customer centricity and rapid innovation.  Embrace the rapidly evolving agentic era of data engineering/analytics and work with PMs to shape the product and user experience accordingly. Build and sustain a culture of service excellence for mission critical enterprise workloads.  Hire and nurture team talent that is capable of delivering high-scale, product innovation while maintaining the operational excellence required to support global business lines.

Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 15 years of professional experience in engineering leadership or related technical roles. 5 years of experience working with big data analytics, machine learning, AI, Large Language Models (LLM) to process and create data. Experience operating in a hyper-growth entrepreneurial environment, scaling new and emerging products from the ground-up. Preferred qualifications: PhD in Computer Science or equivalent. Experience working in the data analytics and management space. Experience bringing innovative, industry-leading, category-defining tech products to market. Experience working with executive level internal and external clients/partners, acting as a representative of the company. Ability to work cross-functionally, partnering with groups (e.g., Product Management, Product Marketing, UX and UI), brokering trade offs with stakeholders and understanding their needs. Excellent narrative and storytelling abilities, including excellent verbal and written communication and presentation skills.