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Director Data Analytics Engineer Jobs in California

Senior Data Analytics Engineer

San Francisco, CA · On-site

$124K - $169K/yr

... accept direct feedback and continuously improve Preferred : • Experience in GPU compute ... • Data engineering skills or familiarity with data pipeline development • Experience at high ...

Director Data AI & Analytics

Irvine, CA · On-site

$154.57 - $216.10/hr

Hire and develop data/platform/analytics engineers, data scientists/ML engineers, bioinformatics ... direct your inquiries to our HR Department (flbi@fujifilm.com). #J-18808-Ljbffr

Hire and develop data/platform/analytics engineers, data scientists/ML engineers, bioinformatics ... direct your inquiries to our HR Department (flbi@fujifilm.com). Salary: . Date posted: 07/29/2026

Hire and develop data/platform/analytics engineers, data scientists/ML engineers, bioinformatics ... direct your inquiries to our HR Department (flbi@fujifilm.com). Employment Type: OTHER

Payactiv is seeking a hands-on Data and Analytics Engineer to own and support our business reporting, analytics, dashboarding, and marketing/operational data request workflows. This is a highly ...

Posted today

Analytics Engineer III

Sacramento, CA · Hybrid

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises ... Direct Lake modes-to balance performance with data freshness. The ideal candidate moves fluidly ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Analytics Engineer III

Sacramento, CA · On-site

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises ... Direct Lake modes-to balance performance with data freshness. The ideal candidate moves fluidly ...

Showing results 21-40

Director Data Analytics Engineer information

What does a Director Data Analytics Engineer do?

A Director Data Analytics Engineer oversees the design, development, and implementation of data analytics solutions within an organization. They lead teams of data engineers and analysts, set the vision for data infrastructure, and ensure that data systems effectively support business goals. Their responsibilities include managing data architecture, optimizing data workflows, and collaborating with other departments to translate business needs into technical requirements. Additionally, they are often involved in strategic planning and in establishing best practices for data governance and security.

How does a Director Data Analytics Engineer typically collaborate with cross-functional teams to drive data-driven decision making?

As a Director Data Analytics Engineer, you will regularly collaborate with stakeholders across business units, such as product managers, IT, and executive leadership, to understand their data needs and translate them into actionable analytics solutions. This often involves leading a team of data engineers and analysts, facilitating regular meetings to align on project priorities, and ensuring data infrastructure supports strategic business objectives. Effective communication and the ability to present complex technical findings in a clear, business-friendly manner are essential for fostering a data-driven culture and influencing key decisions.

What are the key skills and qualifications needed to thrive as a Director Data Analytics Engineer?

To thrive as a Director Data Analytics Engineer, you need deep expertise in data engineering, analytics, and strategic leadership, supported by a degree in computer science or a related field and significant industry experience. Proficiency with big data platforms (such as Hadoop and Spark), cloud services (AWS, Azure, or Google Cloud), and advanced analytics tools, along with certifications in data management or analytics, is typically required. Exceptional communication, team leadership, and problem-solving skills help drive cross-functional collaboration and innovation. These skills and qualities are essential for effectively leading analytics initiatives, translating business needs into data solutions, and driving organizational growth through data-driven decision-making.

What is the difference between Director Data Analytics Engineer vs Data Analytics Manager?

AspectDirector Data Analytics EngineerData Analytics Manager
CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's/Master's in Analytics, Business, or related field; focus on team management
Work EnvironmentStrategic leadership, overseeing analytics projects, collaborating with executivesManaging analytics teams, project execution, reporting to directors or executives
Industry UsageUsed across tech, finance, healthcare, and more for high-level analytics strategyCommon in various industries for managing analytics operations

The Director Data Analytics Engineer focuses on strategic leadership and overseeing analytics engineering initiatives, while the Data Analytics Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the director position emphasizes strategic planning and cross-department collaboration.

What are the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What cities in California are hiring for Director Data Analytics Engineer jobs? Cities in California with the most Director Data Analytics Engineer job openings:

Senior Data Analytics Engineer

Hyperbolic

San Francisco, CA • On-site

$124K - $169K/yr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Hyperbolic Labs is on a mission to democratize AI through their Open-Access AI Cloud, offering an innovative GPU marketplace. They are seeking their first data analytics hire to establish and own the data foundation for their growing marketplace, transforming complex data into actionable insights to drive business decisions.
Responsibilities:
• Establish and own the data foundation for the rapidly growing GPU marketplace.
• Define, build, and deliver the critical metrics that drive business decisions across the company.
• Bridge the gap between highly technical AI infrastructure and business needs.
• Transform complex data into actionable insights.
• Shape the data analytics function from the ground up.
Qualifications:
Required:
• 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership
• Strong SQL and Python scripting skills for data manipulation and analysis
• Expert at data debugging and ensuring data correctness with a proactive approach to data health
• Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar)
• Exceptional attention to detail with consistent review and improvement of data systems
• Strong communication and collaboration skills with the ability to articulate complex data insights to leadership
• Experience working with highly technical teams and understanding technical business models
• Proactive in seeking clarification when needed and comfortable navigating ambiguity
• Ability to accept direct feedback and continuously improve
Preferred:
• Experience in GPU compute infrastructure or cloud computing space
• Background in AI infrastructure or related technical domains
• Data engineering skills or familiarity with data pipeline development
• Experience at high-growth, early stage, technical companies
Company:
Hyperbolic is the open-access AI cloud made for AI developers, providing fast, affordable access to compute, inference, and AI services. Founded in 2022, the company is headquartered in Irvine, USA, with a team of 11-50 employees. The company is currently Early Stage.