Leadership Overview
Databricks has 10 executives leading key functions including revenue generation, information technology, marketing, strategy, technology development, and architecture.
Driven by innovation, Databricks is dedicated to unifying data and AI, empowering organizations to extract actionable intelligence and foster groundbreaking advancements through its open lakehouse architecture.
Driven by innovation, Databricks is dedicated to unifying data and AI, empowering organizations to extract actionable intelligence and foster groundbreaking advancements through its open lakehouse architecture.
Leadership Roles at Databricks
Michael Del Balso - Co-Founder & Chief Executive Officer (Tecton)
Michael Del Balso, the Co-Founder & Chief Executive Officer (Tecton) at Databricks, spearheads the strategic vision and overall direction for the company's AI platform initiatives. Del Balso guides the executive team in driving innovation, fostering a culture of collaboration, and ensuring the successful execution of the company's mission to unify data and AI. This pivotal role involves setting ambitious goals, overseeing major business decisions, and representing the company to stakeholders, investors, and the broader technology community. By championing the open lakehouse architecture, Michael Del Balso enables organizations worldwide to discover insights and deploy AI applications efficiently. Ultimately, Del Balso ensures Databricks remains at the forefront of the data and AI revolution, driving transformative impact across industries.

Ronald Gabrisko - Chief Revenue Officer
Ronald Gabrisko, the Chief Revenue Officer at Databricks, directs all global sales operations and revenue generation strategies. Gabrisko oversees the expansion of market reach and the optimization of customer acquisition channels, ensuring alignment with the company's growth objectives. This leadership role involves cultivating strategic partnerships and driving revenue streams through direct sales and channel programs. By focusing on customer success and value realization, Ronald Gabrisko directly impacts the company's financial performance and market penetration. Ultimately, Gabrisko secures long-term revenue stability and accelerates business development across all territories. The Chief Revenue Officer ensures that sales teams are equipped with the necessary tools and insights to effectively communicate the value of Databricks' unified data and AI platform to a diverse client base, fostering strong, lasting relationships.

Naveen Zutshi - Chief Information Officer
Naveen Zutshi, the Chief Information Officer at Databricks, architects and executes the company's global information technology strategy. Zutshi manages all aspects of IT infrastructure, cybersecurity, and digital transformation initiatives, ensuring robust and scalable systems that support business operations. This critical role involves overseeing the implementation of advanced technologies to enhance operational efficiency and data security across the organization. By driving innovation in IT services, Naveen Zutshi ensures that Databricks maintains a competitive edge and adheres to the highest standards of data governance and compliance. Ultimately, Zutshi safeguards the company's digital assets and empowers employees with reliable technology solutions. The Chief Information Officer's purview extends to managing vendor relationships and optimizing technology investments to align with Databricks' mission of unifying data and AI.

Richard Schultz - Chief Marketing Officer
Richard Schultz, the Chief Marketing Officer at Databricks, directs all global marketing strategies and brand initiatives. Schultz oversees demand generation, product marketing, corporate communications, and digital marketing efforts, ensuring consistent messaging and market positioning. This leadership function involves developing campaigns that highlight the value of Databricks' unified data and AI platform to diverse industries. By driving market awareness and customer engagement, Richard Schultz significantly contributes to lead generation and pipeline growth. Ultimately, Schultz shapes the company's brand narrative and strengthens its market presence. The Chief Marketing Officer's responsibilities include analyzing market trends, identifying new opportunities, and collaborating with sales and product teams to articulate the company's unique value proposition in the competitive data and AI landscape.

Mateo Sáenz - Chief Information Officer, Strategy & Operations Office of
Mateo Sáenz, the Chief Information Officer, Strategy & Operations Office of at Databricks, leads the strategic planning and operational execution for the company's information systems. Sáenz focuses on aligning IT initiatives with overarching business objectives, ensuring seamless integration of technology across departments. This role involves optimizing operational workflows, enhancing data management practices, and driving efficiency through strategic technology deployment. By fostering a culture of operational excellence, Mateo Sáenz supports the company's mission to provide a unified platform for data and AI. Ultimately, Sáenz ensures that the company's operational framework is robust, scalable, and adaptable to evolving market demands. The Chief Information Officer's focus on strategy and operations ensures that technology investments directly contribute to Databricks' growth and innovation.
Zac Davies - Lead Solutions Architect & Anz Field Chief Technology Officer
Zac Davies, the Lead Solutions Architect & Anz Field Chief Technology Officer at Databricks, guides technical strategy and customer solutions across the Australia and New Zealand region. Davies architects complex data and AI solutions, ensuring clients effectively leverage the Databricks lakehouse platform for their specific business needs. This role involves deep technical engagement with customers, translating business challenges into actionable technology roadmaps and demonstrating the platform's capabilities. By providing expert architectural guidance, Zac Davies accelerates customer adoption and success, driving innovation and insights from data. Ultimately, Davies ensures that clients in the ANZ region maximize their return on investment through advanced data analytics and AI applications. The Field Chief Technology Officer's expertise bridges the gap between cutting-edge technology and practical business application.
Hanlin Tang - Chief Technology Officer, Neural Networks
Hanlin Tang, the Chief Technology Officer, Neural Networks at Databricks, drives the technological advancements and strategic direction for neural network development within the company. Tang leads research and engineering efforts focused on creating state-of-the-art AI models and capabilities, pushing the boundaries of machine learning. This specialized role involves overseeing the design, implementation, and optimization of neural network architectures to enhance the Databricks platform's AI functionalities. By fostering innovation in deep learning, Hanlin Tang ensures Databricks remains a leader in providing powerful AI tools for organizations. Ultimately, Tang's expertise accelerates the development of intelligent applications and drives significant breakthroughs in artificial intelligence. The Chief Technology Officer's focus on neural networks is critical for advancing the company's AI-centric mission.
Molly Nagamuthu - Field Chief Technology Officer & Principal Architect
Molly Nagamuthu, the Field Chief Technology Officer & Principal Architect at Databricks, provides high-level technical leadership and architectural guidance to key clients and partners. Nagamuthu designs and validates complex data and AI solutions, ensuring they align with customer objectives and leverage the full potential of the Databricks lakehouse. This role involves deep collaboration with enterprise customers to address their most challenging data problems and accelerate their digital transformation journeys. By translating business requirements into robust technical strategies, Molly Nagamuthu empowers organizations to derive maximum value from their data assets. Ultimately, Nagamuthu drives the adoption of advanced analytics and AI across various industries, solidifying Databricks' position as a trusted technology partner. The Principal Architect's insights are crucial for shaping innovative solutions.
Daniel Weeks - Co-Founder & Chief Technology Officer
Daniel Weeks, the Co-Founder & Chief Technology Officer at Databricks, shapes the technological vision and architectural foundation of the company's unified data and AI platform. Weeks leads the engineering teams in developing innovative solutions that enable organizations to manage, analyze, and leverage data effectively. This pivotal role involves guiding the evolution of the open lakehouse architecture, ensuring scalability, performance, and security. By championing open-source principles and advanced research, Daniel Weeks drives the technological roadmap that empowers customers to discover insights and deploy AI applications. Ultimately, Weeks ensures Databricks remains at the cutting edge of data and AI innovation, delivering transformative capabilities to the market. The Chief Technology Officer's leadership is fundamental to the platform's ongoing success.
Surya Turaga - Life Sciences Field Chief Technology Officer (Hls)
Surya Turaga, the Life Sciences Field Chief Technology Officer (Hls) at Databricks, directs specialized technical strategy and architectural guidance for clients within the healthcare and life sciences sectors. Turaga architects sophisticated data and AI solutions tailored to the unique challenges and regulatory requirements of the HLS industry, ensuring optimal utilization of the Databricks platform. This critical function involves close collaboration with HLS organizations to accelerate drug discovery, improve patient outcomes, and enhance operational efficiencies through data-driven insights. By providing deep domain expertise and technical leadership, Surya Turaga empowers HLS companies to innovate and achieve their strategic goals. Ultimately, Turaga drives the adoption of advanced analytics and AI, transforming the landscape of healthcare and life sciences. The Field Chief Technology Officer's focus is vital for sector-specific advancements.
Explore Leadership Teams in Database & File Management Software
Snowflake Inc. provides a cloud-based data platform for various organizations in the United States and internationally. Its platform offers Data Cloud, which enables customers to consolidate data into a single source of truth to drive meaningful business insights, build data-driven applications, and share data and data products, as well as applies artificial intelligence (AI) for solving business problems. The company was formerly known as Snowflake Computing, Inc. and changed its name to Snowflake Inc. in April 2019. Snowflake Inc. was incorporated in 2012 and is based in Bozeman, Montana.
Company Leadership VS
JR
MY
Based in Ontario, Canada, Ataccama is an A.I. powered, data-management platform that offers integration for: Data Discovery & Profiling, Metadata Management & Data Catalog, Data Quality Management, Master & Reference Data Management, and Big Data Processing & Data Integration.
Company Leadership MM


EnterpriseDB (EDB) delivers an open source-based data management platform, optimised for greater scalability, security, and reliability. EnterpriseDB is based in Bedford, Massachusetts.
Company Leadership SM

RB
Redis is a software company that operates within the data infrastructure and database technology sector, focusing on the development and commercialization of high-performance, in-memory data platforms. The organization is widely recognized for its role in advancing real-time data processing and enabling modern applications that require extremely fast access to information. Its technology underpins a wide range of digital services, from web applications and mobile platforms to financial systems and large-scale enterprise environments. The companys origins are closely tied to the evolution of an open-source database project that introduced a novel approach to data storage and retrieval. By storing data in memory rather than relying solely on disk-based systems, Redis technology enables significantly faster read and write operations. This capability makes it particularly suitable for applications that demand low latency and high throughput, such as caching, session management, real-time analytics, and messaging systems. Over time, the company has expanded this foundational technology into a comprehensive platform that supports a variety of data structures and use cases.
Company Leadership
