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Data Strategy Engineer Jobs in California (NOW HIRING)

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

This is a senior individual contributor role that focuses on strategy rather than managing ... and engineering. * Edge-Case Proficiency: A deep understanding of how deployment failures, edge ...

This role The Staff Data Engineer is responsible for ensuring that the organization has reliable ... Data Strategy: Develop and maintain a data strategy aligned with business objectives, ensuring data ...

Research Engineer - Data

Menlo Park, CA · On-site

$250K - $350K/yr

This means owning data strategy end-to-end: sourcing and procuring external datasets, integrating ... This role sits at the intersection of data engineering, research infrastructure, and strategy. You ...

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 ...

Description 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 ...

Data Engineer

San Jose, CA

$134K - $161K/yr

Work closely with our engineering team to integrate and build algorithms * Process unstructured ... Collaborate with internal business, analytics and data strategy partners to improve efficiency and ...

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Showing results 1-20

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.
What are popular job titles related to Data Strategy Engineer jobs in California? For Data Strategy Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Strategy Engineer jobs in California look for? The top searched job categories for Data Strategy Engineer jobs in California are:
What cities in California are hiring for Data Strategy Engineer jobs? Cities in California with the most Data Strategy Engineer job openings:
Data Strategy & Program Lead, PART DataOps

Data Strategy & Program Lead, PART DataOps

Apple

Cupertino, CA

$146K - $244K/yr

Full-time

Medical, Dental, Retirement

Posted 4 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Apple is seeking an experienced Data Strategy & Program Lead to join our Finance Process, Analytics, Reporting & Technology (PART) Data Operations team. You will own the data strategy and roadmap behind the data foundations that power Retail Finance - directing the engineers who build them and partnering closely with our IT and technical partner teams to deliver trustworthy, high-quality data at scale. This is a role for someone who thinks strategically about data, defines what “good” looks like, and orchestrates the people and partners needed to get there. If you’re energized by ambiguous problems, cross-functional influence, and turning a portfolio of data initiatives into measurable business impact, we’d love to hear from you.
Description
You will set the direction for how Retail Finance’s data is sourced, built, governed, and delivered - translating business needs into a clear technical roadmap and orchestrating the engineers and partner teams who execute it. Today that work spans dozens of data pipelines processing billions of records per day; your job is to ensure that work is prioritized well, built to a high standard, and continuously evolving to meet changing business conditions.
You will lead through influence as much as authority. You’ll direct the priorities and delivery of our data engineering resources and partner with technical teams across Apple, relying on those partners for the deepest engineering expertise. Your value is in connecting the dots: understanding the business deeply, knowing enough about the technology to make sound trade-offs and challenge designs, and keeping a complex set of initiatives moving toward outcomes that leadership can trust.
We’re a growing team with plenty of interesting technical and business challenges to solve. We’re looking for a self-starter who learns fast, adapts well to changing requirements, builds trust across organizational boundaries, and is comfortable working with minimal direction in a global, fast-paced, sometimes ambiguous environment.","responsibilities":"Own the data strategy and multi-quarter roadmap for Retail Finance data, partnering with cross-functional leadership to define and gain buy-in on a long-term vision
Define “what good looks like” - setting standards, principles, and success metrics for data quality, reliability, and delivery - and hold the work to them
Translate Retail Finance business needs into clear requirements, prioritized initiatives, and well-scoped projects
Direct the priorities, workload, and delivery of data engineering resources, balancing competing demands while maintaining quality
Partner with Apple’s IT and technical partner teams who hold deep data engineering expertise - directing the work, making trade-off decisions, and ensuring solutions are scalable, efficient, and well-architected
Establish and champion data governance frameworks, including data quality, validation, monitoring, and ownership
Monitor initiatives from intake through delivery - planning schedules, managing dependencies, surfacing risks, and keeping stakeholders informed
Articulate priorities, trade-offs, and technical concepts in business context to senior Finance, Sales, and Operations leaders
Drive adoption of data products and self-service capabilities across the Retail Finance organization
Champion modern technology and AI adoption across the team and the analysts we support, helping the organization understand where new tools can drive leverage
Plan and run enablement activities - training, workshops, summits - to build data fluency across Retail Finance
Preferred Qualifications
Experience directing, mentoring, or managing engineers, contractors, or technical project teams
Working familiarity with the modern data stack and concepts behind technologies like Python, SQL, Airflow, Spark, Trino, Kafka, Docker, Iceberg, and Databricks - enough to set direction and make informed decisions, even if you’re not the hands-on builder
Experience establishing data governance, data quality, and data product frameworks
Proficiency in process mapping, business process analysis, and systems development lifecycles
Familiarity with SDLC best practices, version control, and CI/CD
A point of view on applying AI/LLM tooling to improve analyst and engineering workflows
Experience with cloud platforms (AWS, GCP, Azure) for data infrastructure
Experience managing large-scale data migrations or onboarding data from external partners
Finance and accounting process experience; familiarity with Retail or Sales Finance a plus
BS or MS in Engineering / Computer Science
Minimum Qualifications
8+ years in program/project management, data strategy, business analysis, or technical program management roles, with a strong data and technology focus
Demonstrated experience owning and delivering complex, cross-functional initiatives end-to-end in an ambiguous, fast-paced environment
Strong technical fluency: able to read and reason about SQL and data pipelines, understand data warehouse/lakehouse architecture, and credibly challenge technical designs and trade-offs
Proven ability to influence and build trust across all levels of an organization, including with senior leadership and technical partner teams
BS or equivalent degree in Engineering, Computer Science, Finance, Business, or a related field
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $146,300 and $244,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976