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Director Data Analytics Engineer Jobs in California

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 and the Hadoop stack.

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 and the Hadoop stack.

Analytics Engineer Posting Start Date: 7/9/26 Summary The Analytics Engineer plays a key role on ... Plans, creates, and maintains data architecture to enable business decisions and recommend ...

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Mattel's Direct-to-Consumer (DTC) and Ecommerce organization is a key driver of Mattel's digital ... Partner closely with data engineering teams to design and improve scalable data pipelines, data ...

Mattel's Direct-to-Consumer (DTC) and Ecommerce organization is a key driver of Mattel's digital ... Partner closely with data engineering teams to design and improve scalable data pipelines, data ...

Mattel's Direct-to-Consumer (DTC) and Ecommerce organization is a key driver of Mattel's digital ... Partner closely with data engineering teams to design and improve scalable data pipelines, data ...

Analytics Engineer (15361)

Modesto, CA

$120K - $145K/yr

Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and ...

Analytics Engineer (15361)

Modesto, CA

$120K - $145K/yr

Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and ...

Sr. Data Platform Engineer

San Francisco, CA · On-site

$134K - $161K/yr

... analytics, data science, and AI/ML capabilities at scale. Reporting to the Sr. Director, Data ... You will work closely with data engineers, data scientists, ML/AI engineers, BI developers, and ...

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

... analytics, data science, and AI/ML capabilities at scale. Reporting to the Sr. Director, Data ... You will work closely with data engineers, data scientists, ML/AI engineers, BI developers, and ...

Showing results 41-60

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:

Data analytics developer

Samsung SDSA

San Jose, CA • On-site

Full-time

Re-posted 2 days ago


Samsung SDS America rating

7.1

Company rating: 7.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

147th of 223 rated it services


Job description

Company Description
Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success
At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.
In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.
Job 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 and the Hadoop stack. The candidate is expected to be a self-learner as it relates to new big data analytics technologies.
Qualifications
Responsibilities:
• Making low-level design decisions;
• Developing source code according to specifications;
• Unit-testing code;
• Applying agile development practices;
• Contribute to design discussions and decisions on application architecture and development, algorithm design, highly-available application services, and reliable APIs;Implementing continuous integration practice
Skills:
• Must have extensive experience and excellent expertise in Java based server-side high-performance, highly-available applications development;
• Practical design, development and deployment experience with evolving existing designs towards large scale service architecture;
• Excellent object-oriented analysis and design skills and using proven architectural patterns;
• Must have practical experience with distributed computing frameworks such Hadoop, Spark and Akka;
• Experience with serialization frameworks such as Avro and Protocol Buffers;
• Experience developing systems following the REST architectural style;
• Knowledge of relation database concepts and SQL;
• Practical experience with unit testing (e.g., JUnit) and mocking (e.g., Mockito) frameworks;
• Practical experience with build frameworks such as Maven and sbt;
• Practical experience with the Scala programming language (desirable);
B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.
Additional Information
Tanya Danylevska
HR - talent acqusition
Samsung SDSA
tetiana.d@partner.samsung.com

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