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Director Database Jobs in San Ramon, CA (NOW HIRING)

Lead Support Engineer, Database

Menlo Park, CA · On-site

$120K - $159K/yr

PhoenixAI is the Agentic AI Database, purpose-built to give autonomous AI agents sub-second access ... direct technical work with team development. * Processes: Experience improving support processes ...

Director of Programs

San Francisco, CA · On-site

$140K - $150K/yr

DIRECTOR OF PROGRAMS SUPERVISES: DEPARTMENT DIRECTORS POSITION: FULL-TIME (40 HOURS PER WEEK ... Contribute to the ongoing development of the database in tracking demographic data and program ...

About The Role The Director of Enrollment is a key member of Kidango's Director team, providing ... Set up and maintain the organization's enrollment, waitlist, and attendance system/database.

Sr. Director, Graph Databases

San Jose, CA · On-site

$296K/yr

About the Role You'll lead two core systems inside Veeam Data Command Center: the Knowledge Graph and the hyperscale data lake integrations. Together, they help customers understand where sensitive ...

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Director Database information

See San Ramon, CA salary details

$58.1K

$143.6K

$223.5K

How much do director database jobs pay per year?

As of Jul 22, 2026, the average yearly pay for director database in San Ramon, CA is $143,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $182,700.00 per year, depending on experience, location, and employer.

What does a Director of Database do?

A Director of Database oversees the management, security, and strategy of an organization's databases. They are responsible for ensuring data integrity, availability, and scalability to support business operations. This role often involves leading a team of database administrators and developers, setting database policies, and collaborating with other IT and business leaders to optimize data systems. Additionally, they may evaluate and implement new database technologies to align with organizational goals.

What are the key skills and qualifications needed to thrive as a Director of Database, and why are they important?

To thrive as a Director of Database, you need deep expertise in database architecture, management, and optimization, typically supported by a degree in computer science or a related field and substantial leadership experience. Familiarity with major database systems (such as Oracle, SQL Server, or MySQL), cloud platforms, and relevant certifications like AWS Certified Database – Specialty are often required. Strong strategic thinking, communication, and team leadership skills set outstanding candidates apart. These competencies are crucial for ensuring data integrity, system scalability, and the effective management of database teams in support of organizational goals.

What are some typical challenges a Director of Database faces when managing large-scale database systems?

A Director of Database often encounters challenges such as ensuring high availability and performance of database systems, managing data security and compliance, and overseeing the integration of new technologies. Balancing business requirements with technical constraints, coordinating across multiple teams—including developers, DevOps, and data analysts—and planning for disaster recovery are also common aspects of the role. Staying updated on industry best practices and leading initiatives to optimize database efficiency are essential to success in this leadership position.

What is the difference between Director Database vs Database Manager?

AspectDirector DatabaseDatabase Manager
CredentialsBachelor's or Master's in Computer Science, Information Technology, or related; often with certifications like CDMP or Oracle certificationsBachelor's in Computer Science, Information Technology, or related; certifications like Oracle or Microsoft SQL Server are common
Work EnvironmentStrategic leadership in large organizations, overseeing multiple teams and projectsOperational management of database systems, ensuring performance, security, and maintenance
Industry UsageUsed in enterprise-level companies, tech firms, and large organizationsCommon across industries for day-to-day database operations

The main difference between a Director Database and a Database Manager lies in scope and focus. The Director Database typically handles strategic planning and leadership at a higher level, while the Database Manager focuses on daily operations and technical management of databases.

What are the most commonly searched types of Database jobs in San Ramon, CA? The most popular types of Database jobs in San Ramon, CA are:
What job categories do people searching Director Database jobs in San Ramon, CA look for? The top searched job categories for Director Database jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Director Database jobs? Cities near San Ramon, CA with the most Director Database job openings:
Infographic showing various Director Database job openings in San Ramon, CA as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $143,630 per year, or $69.1 per hour.

Lead Support Engineer, Database

CelerData, Inc.

Menlo Park, CA • On-site

$120K - $159K/yr

Full-time

Posted 20 days ago


Job description

PhoenixAI is the Agentic AI Database, purpose-built to give autonomous AI agents sub-second access to live enterprise data at massive scale. The platform unifies real-time and at-rest data in a single AI-native engine, combining the speed and concurrency that agentic workloads demand with the governance and deployment flexibility enterprises require to put AI into production. Formerly known as CelerData, PhoenixAI is headquartered in Menlo Park, California. Learn more at phoenixdata.ai
Job Overview
We're seeking a Principal or Lead Support Engineer to deliver exceptional technical assistance to PhoenixAI customers, resolving issues, optimizing performance, and driving customer success. This role combines deep technical expertise with a customer-first mindset to troubleshoot, educate, and influence product improvements based on real-world usage.
Key Responsibilities
As a Principal / Lead Support Engineer, you'll ensure customers maximize PhoenixAI's value by resolving technical challenges and enhancing their experience. Your responsibilities include:
  • Go-live Support: Collaborate with customers to ensure successful deployment of their projects into production and help them quickly realize the value of PhoenixAI product.
  • Issue Resolution: Diagnose and resolve customer issues-ranging from query performance bottlenecks to integration challenges- when using PhoenixAI's products.
  • Technical Guidance: Provide actionable advice to customers on optimizing PhoenixAI deployments, including configuration tuning, data modeling, and integration with tools like Apache Kafka or BI platforms.
  • Case Documentation: Maintain detailed records of support cases-capturing use cases, technical issues, and resolutions-to improve support processes and inform product enhancements.
  • Customer Escalation Handling: Act as a point of escalation for complex issues, collaborating with engineering teams to deliver timely, effective solutions under SLAs.
  • Feedback Loop: Gather customer feedback and usage insights, partnering with product and engineering teams to refine PhoenixAI's capabilities and address recurring pain points.
  • Knowledge Sharing: Create and update support resources-like troubleshooting guides, FAQs, and best-practice articles-to empower customers and streamline issue resolution.
  • Mentoring and Coaching: fostering team members' technical growth through knowledge sharing, code reviews, and hands-on guidance. Conduct regular team training sessions and performance feedback to elevate overall support quality.
  • Process Improvement: Analyze support trends and metrics to identify opportunities for process enhancements and proactive customer outreach.

Qualifications
  • Ambition & Curiosity: A driven, inquisitive mindset-eager to learn PhoenixAI product's intricacies, tackle tough challenges, and grow into the role, even if starting with less experience or specific skills.
  • Experience: 10+ years in a technical support, customer success, or engineering role, ideally with data analytics or database technologies.
  • Technical Expertise:
    • Experience with analytical databases (e.g., PhoenixAI/StarRocks, ClickHouse, Snowflake, Databricks) and strong SQL skills.
    • Ability to troubleshoot issues in a Linux environment across multiple layers (e.g., network, storage, security)
    • Ability to troubleshoot issues in OLAP systems (e.g., query performance, data ingestion).
    • Familiarity with distributed systems, cloud platforms (AWS, GCP, Azure), and data tools (e.g., Kafka, Flink, Tableau).
  • Communication Skills: Proven ability to communicate technical solutions clearly to diverse audiences, from data engineers to IT managers.
  • Problem-Solving: Adept at diagnosing complex issues under pressure and delivering root-cause resolutions.
  • Collaboration: Experience working with engineering teams to escalate and resolve issues or influence product development.
  • Leadership: Proven track record of mentoring or leading junior engineers, with a player-coach mindset-balancing direct technical work with team development.
  • Processes: Experience improving support processes, such as implementing SLAs, automation tools, or CI/CD pipelines for issue resolution.
  • Bonus Points:
    • Scripting skills (e.g., Python, Bash) for automation or diagnostics.
    • Familiar with real-time analytics or BI technologies.