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Director Data Analytics Engineer Jobs in California

Fujifilm

Director Data AI & Analytics

Irvine, CA · Hybrid

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

Data and Analytics Engineer

Milpitas, CA · On-site

$130 - $165/hr

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 ...

Payactiv, Inc.

Data and Analytics Engineer

Milpitas, CA · On-site

$130K - $165K/yr

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 ...

Sutter Health

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 ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

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 ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

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 ...

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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.

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.

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 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:

Director Data Analytics Engineer jobs near you

Senior Data & Analytics Engineer

MG Properties

San Diego, CA • On-site

$140K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

With over 30 years of experience in the acquisition, development, rehabilitation, and management of apartment communities across the Western United States, we are a trusted partner in the real estate investment and property management industry. At MG Properties, we focus on enriching lives - physically in our community buildings, philanthropically through giving back to our local communities, and through development and growth of our employees.
About the Role
MG Properties is seeking a Senior Data & Analytics Engineer to lead the development and long-term ownership of our enterprise data and analytics platform. This senior individual contributor will manage everything downstream of data delivery, including the Microsoft Fabric environment, lakehouse, semantic models, reporting, governance, access controls, and AI-enabled analytics.
This is an opportunity for an experienced data and analytics professional to build a modern, governed platform that transforms how teams access information, make decisions, and use data across the organization.
This position is primarily onsite, with the potential for a hybrid work schedule based on business needs.
What You'll Do
  • Own and administer the Microsoft Fabric environment, including lakehouses, OneLake storage, workspaces, SQL Analytics endpoints, capacity, performance, refresh operations, and access controls.
  • Design, build, and maintain scalable semantic models, Power BI reports, and dashboards for finance, investor relations, investments, and operations.
  • Lead the migration of existing Yardi-native Power BI reporting to the new Microsoft Fabric platform.
  • Replace manual, Excel-driven reporting with governed and scalable solutions.
  • Establish consistent definitions, reporting standards, and trusted data sources across the organization.
  • Partner with department leaders to understand business needs and translate them into a prioritized analytics roadmap.
  • Establish governance standards for data access, row-level security, workspace administration, report lifecycles, lineage, and content certification.
  • Build AI-enabled analytics, natural-language querying, and data agents in partnership with the Director of IT.
  • Evaluate and implement Microsoft Copilot capabilities and custom agents where they provide meaningful business value.
  • Create documentation, guides, and training to support business users and responsible self-service analytics.
  • Serve as the primary escalation point for data and AI initiatives across departments.
  • Expand the platform over time to incorporate SharePoint, operational systems, and other data sources.

What You'll Bring
  • Eight or more years of experience in data, analytics, or business intelligence, with progressively increasing responsibility and direct ownership of an enterprise platform.
  • Hands-on experience with Microsoft Fabric, including lakehouses, OneLake, semantic models, SQL Analytics endpoints, and Direct Lake mode.
  • Advanced Power BI experience, including semantic model development, workspace and tenant governance, row-level security, and enterprise dashboard delivery.
  • Experience administering capacity and environments, including utilization monitoring, refresh management, access control, performance troubleshooting, and workspace lifecycles.
  • Proficiency in SQL, DAX, and Power Query.
  • Demonstrated experience replacing manual, Excel-based reporting with governed solutions that users successfully adopted.
  • Ability to communicate effectively with senior stakeholders and translate business needs into clear technical solutions.
  • Comfort independently owning a platform, establishing standards, and making architectural decisions.
  • Strong judgment regarding when to build internally, involve an external partner, or recommend an alternative approach.

Preferred Qualifications
  • Microsoft certifications in data, analytics, or the Power Platform.
  • Knowledge of ELT concepts and medallion lakehouse architecture.
  • Experience with Power Apps and Power Automate.
  • Experience building AI-enabled or natural-language querying capabilities over a data platform.
  • Background in real estate, property management, or another operations-focused industry.
  • Experience with Yardi Voyager or a comparable property management platform.
  • Experience mentoring others or expanding analytics capabilities across an organization.

Compensation and Benefits
  • $140k-$155k DOE
  • Company profit sharing
  • Accrues 10 days Paid time off per year
  • 10 Paid Holidays and 2 Paid Personal Days per year
  • 40 Hours of Paid Sick Time
  • 401K with employer match
  • Medical, Dental, Vision, Employee Assistance Program
  • Life Insurance
  • Flexible Spending Account, Dependent Care Spending Account

California pay range
$140,000-$155,000 USD
MG Properties is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are a drug-free workplace, participate in E-Verify, and are an at-will employer. If identified for a position, you will be asked to submit to a background check and drug-screen.
View our CCPA Policy HERE

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