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Data Strategy Engineer Jobs in California (NOW HIRING)

Heartflow

Staff Data Architect

San Francisco, CA

$75 - $96.50/hr

Engineering Excellence: Championing high-quality data systems, rigorous review and testing practices, and elevating the technical baseline of the entire team. * Strategic Ownership: Taking end-to-end ...

Heartflow

Staff Data Architect

San Francisco, CA · On-site

$75 - $96.50/hr

Engineering Excellence: Championing high-quality data systems, rigorous review and testing practices, and elevating the technical baseline of the entire team. * Strategic Ownership: Taking end-to-end ...

Apple

Machine Learning Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ambiguous data ...

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Data Strategy Engineer information

What is the difference between Data Strategy Engineer vs Data Analyst?

AspectData Strategy EngineerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; certifications in data management or cloud platformsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentCollaborates with data engineers, business strategists, and IT teams to develop data strategiesWorks with data sets to generate reports, dashboards, and insights for business decisions
Employer & Industry UsageUsed in tech, finance, and consulting firms focusing on data-driven strategiesCommon across various industries for operational and marketing insights

The Data Strategy Engineer focuses on designing and implementing data strategies to support business goals, often working on data architecture and governance. In contrast, the Data Analyst primarily interprets data to generate reports and insights. Both roles require strong analytical skills, but the Data Strategy Engineer has a broader scope involving strategic planning and data infrastructure.

What are the 4 pillars of data strategy?

The four pillars of data strategy typically include data governance, data quality, data architecture, and data analytics. For a Data Strategy Engineer, understanding these pillars helps in designing effective data systems, ensuring data integrity, security, and usability across an organization.

What profession makes $400,000 a year?

In the field of data strategy engineering, professionals with extensive experience, advanced skills in data architecture, and certifications in data management can reach or exceed a $400,000 annual salary, especially in senior or leadership roles within large organizations. High compensation often correlates with expertise in data analytics, cloud platforms, and strategic planning.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals who design data architectures, manage data pipelines, and ensure data quality. Data engineers are essential for building and maintaining the infrastructure that enables effective AI and analytics solutions. Their expertise in tools like SQL, cloud platforms, and programming languages remains critical in the evolving data landscape.

What engineers make $500,000?

Senior data engineers, machine learning engineers, and software engineers with extensive experience and specialized skills can earn $500,000 or more annually, especially in high-demand industries or companies. Achieving this level often requires advanced certifications, expertise in cloud platforms, and leadership roles within organizations.
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What cities in California are hiring for Data Strategy Engineer jobs? Cities in California with the most Data Strategy Engineer job openings:
Data Strategy Engineer jobs near you
VP of Data Engineering

VP of Data Engineering

Strategic Legal Practices

Los Angeles, CA • On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

About Strategic Legal Practices
Based in Los Angeles, Strategic Legal Practices is one of the largest litigation firms within California, representing clients in a range of consumer protection and civil litigation matters. Our Firm measures our success by how well our clients do. We are armed with a group of experienced attorneys, led by one of the most successful Lemon Law and Consumer Fraud litigators in California. The best predictor of performance is our record of achievement. We are proud to have successfully helped thousands of clients in their pursuit against car manufacturers. Our success rate is unmatched by any other Firm.
Position Summary
The Vice President of Data is responsible for building and leading the firm's data strategy, analytics, and reporting infrastructure to support legal operations, firm leadership, and business growth. This role owns enterprise data systems, reporting, and insights - translating complex data into actionable intelligence for attorneys, leadership, and operational teams.
Essential Duties & Responsibilities
1. Data Strategy & Governance
  • Develop and execute a firm-wide data strategy aligned with business goals, growth plans, and operational efficiency.
  • Serve as the senior leader responsible for data architecture, analytics, and reporting across all departments.
  • Establish data priorities that support litigation outcomes, client performance, financial forecasting, and resource allocation.
  • Advise executive leadership using data-driven insights to inform strategic decisions.
2. Engineering Leadership & Execution
  • Lead and scale the Firm's data infrastructure, analytics platforms, and software systems.
  • Oversee the development of data pipelines, reporting tools, and analytics solutions that drive efficiency and insight.
  • Ensure systems are reliable, scalable, and aligned with long-term technology strategy.
  • Drive delivery of high-quality solutions on time and within scope.
3. Technology Roadmap & Innovation
  • Develop and maintain a forward-looking technology roadmap in collaboration with cross-functional leaders.
  • Identify and implement modern data and cloud architectures (e.g., analytics platforms, automation tools, AI-driven solutions).
  • Evaluate and deploy emerging technologies to improve performance, reduce costs, and enhance scalability.
  • Lead initiatives related to AI agents, analytics automation, and workflow optimization.
4. Team Development & Organizational Design
  • Recruit, mentor, and retain a team of data engineers, analytics professionals, and software specialists.
  • Design organizational structures that support scalability, operational efficiency, and continuous improvement.
  • Foster a culture of accountability, technical excellence, and collaboration.
  • Conduct performance evaluations and support professional development.
5. Cross-Functional Collaboration
  • Partner with business leaders across legal operations, finance, HR, and technology to align data initiatives with firm priorities.
  • Translate complex technical concepts into actionable insights for non-technical stakeholders.
  • Support data-driven decision-making across departments.
6. Operational Excellence & Metrics
  • Monitor and optimize engineering KPIs, infrastructure performance, and data reliability.
  • Improve platform efficiency, reduce redundancy, and manage operational costs.
  • Ensure analytics and reporting solutions meet business needs and support strategic decision-making.
7. AI & Automation Enablement
  • Lead the implementation of AI-driven intelligence and automation to improve productivity and reduce operational burden.
  • Identify opportunities where data and automation can enhance Firm workflows and outcomes.
  • Measure and report the impact of AI and automation initiatives.
8. Data Governance & Quality
  • Establish firm-wide standards for data accuracy, consistency, and ownership.
  • Define data governance processes (naming conventions, access controls, validation rules).
  • Ensure data is secure and appropriately accessible across teams.
  • Partner with Legal, IT, and Compliance teams on privacy and security requirements (without owning legal compliance).

Requirements
Qualifications
Required
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Extensive experience in data engineering, analytics platforms, and enterprise data systems.
  • Proven leadership experience managing technical teams and complex initiatives.
  • Strong understanding of data governance, security, and compliance.
  • Ability to operate at an executive level while remaining hands-on when needed.

Preferred
  • Advanced degree in a related field.
  • Experience in professional services, legal, or regulated environments.
  • Experience implementing AI, automation, or advanced analytics solutions.

Compensation: $180,000 - $220,000 per year
This role is on site in Century City/Los Angeles
Benefits
We're committed to supporting the well-being and success of our team through a robust and thoughtfully designed benefits package, including:
  • 401(k) with Employer Match - Plan for your future with confidence and company support.
  • Health, Dental, and Vision Insurance - Comprehensive coverage to keep you and your family healthy.
  • Short-Term, Long-Term Disability & Life Insurance - Financial protection for life's unexpected events.
  • Paid Parking - Convenient and covered, so you can focus on your day.
  • Generous Paid Time Off - Ample time to rest, recharge, and take care of personal matters.
  • Employee Referral Program - Earn rewards for introducing talented individuals to our team.
  • Employee Assistance Program (EAP) - Confidential resources for personal and professional support.
  • Employee Discount Program - Access to exclusive savings on a variety of products and services.

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