1

Data Enablement Jobs in California (NOW HIRING)

Senior Software Engineer, Data Enablement

Bodega Bay, CA · On-site +1

$145K - $191K/yr

The Role The Data Enablement team builds the platforms and frameworks that move and serve data across Block. We support four core capabilities - online and offline data projections, a third-party ...

As the platform grows, this role will evolve into a broader enterprise data enablement and merchandising function, expanding its scope from operational data intake oversight to enterprise-wide data ...

New

VP, Data Intake Operations

Irvine, CA · On-site

$240K - $260K/yr

As the platform grows, this role will evolve into a broader enterprise data enablement and merchandising function, expanding its scope from operational data intake oversight to enterprise-wide data ...

New

Self-Serve Data & Enablement * Work alongside platform and data product teams to enable self-service analytics in a governed way * Help establish secure access patterns, role-based permissions, and ...

Data Strategy & Analytics Enablement * Own the Consumer Bank analytics and data enablement roadmap, ensuring business priorities are supported by scalable data assets, measurement capabilities, and ...

The Role We're hiring a Revenue Enablement Lead to own how our entire GTM organization ramps, sharpens, and wins. This is a foundational, high-ownership role. You'll design and run the programs that ...

next page

Showing results 1-20

Data Enablement information

How does a data enablement professional typically collaborate with other departments to drive data-driven decision-making?

Data Enablement professionals work closely with departments such as marketing, finance, operations, and IT to ensure that accurate, accessible data informs strategic decisions. They often facilitate data literacy training, help teams define data requirements, and establish efficient data pipelines. Collaboration is key—regular meetings, workshops, and cross-functional projects are common to align data initiatives with business goals. This role also involves translating complex data concepts into actionable insights for non-technical stakeholders, fostering a culture of data-driven decision-making throughout the organization.

What are the key skills and qualifications needed to thrive in data enablement, and why are they important?

To thrive in Data Enablement, you need strong analytical skills, a solid understanding of data management principles, and experience with data governance, often supported by a degree in data science, information technology, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data integration platforms, and database systems are commonly required, along with certifications like CDMP (Certified Data Management Professional). Excellent communication, collaboration, and problem-solving skills help you translate data insights into actionable business strategies and foster data literacy across teams. These competencies are crucial for ensuring high-quality, accessible data that drives informed decision-making and organizational growth.

What is the difference between Data Enablement vs Data Analyst?

AspectData EnablementData Analyst
Primary FocusProviding tools, platforms, and infrastructure to empower data usersAnalyzing data to generate insights and reports
Skills & CertificationsData management, platform administration, data governanceStatistical analysis, SQL, data visualization tools
Work EnvironmentIT teams, data platforms, cross-functional teamsBusiness units, analytics teams, reporting environments
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsMarketing, finance, operations departments across industries

Data Enablement focuses on building and maintaining the infrastructure and tools that allow organizations to access and utilize data effectively. In contrast, Data Analysts interpret and analyze data to provide actionable insights. While both roles work with data, Data Enablement is more technical and infrastructure-oriented, whereas Data Analysts are more focused on analysis and reporting.

What is data enablement?

Data enablement is the process of making data accessible, usable, and valuable across an organization. It involves implementing tools, processes, and strategies that empower employees to access, analyze, and act on data efficiently. The goal of data enablement is to break down data silos, improve data literacy, and support better decision-making by ensuring the right people have the right data at the right time.

What cities in California are hiring for Data Enablement jobs?

Cities in California with the most Data Enablement job openings:

Infographic showing various Data Enablement job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Software Engineer, Data Enablement Platform

United States Digital Space LLC

San Francisco, CA • On-site

$192 - $240/hr

Other

Posted 12 days ago


Job description

What you’ll do

This position is on our Data Enablement Platform team. The company product requires a huge amount of data to power our client experiences. With a largely async architecture, proliferation of services and multiple operations systems, this data originates from many different sources and in different forms. To ensure that our product experience is unbounded in how it leverages this data, the Data Enablement Platform team owns and operates the systems required to deliver it to our clients, and partners with them to create impactful data‑backed products. As a DEP team member you will help build the company’s Data Infrastructure and also work across the entire data stack to help product teams build data‑backed products.

Responsibilities
  • Build, improve, and maintain the company’s data platform and infrastructure: data warehouse & analytics, data streaming, replication and materialization, data orchestration, data observability, access & governance.
  • Partner with the company’s product teams, data science and analytics teams to help them launch superior products backed by data insights.
  • Level up the data competency at the company through partnership and education.
  • Invest in building resilient data architectures, participate in on‑call rotations, and continuously improve our operational efficiency.
Requirements
  • 5+ years of professional experience in a data infra or data platform role
  • Experience with one or more of Snowflake, Flink, Airflow, dbt, CDC
  • Fluency in Kotlin or Kotlin‑like development languages such as Python
  • Experience building and maintaining large‑scale modern data stack
  • Experience with streaming infra like Kafka
  • Experience in backend engineering or full‑stack development
  • Strong communication and collaboration skills, especially working across team boundaries and building XFN relationships
  • Must be willing to work in office 3 days a week on Mondays, Wednesdays and Fridays
Bonus points
  • Experience collaborating with product teams or building full‑stack data‑backed products
  • Experience with data architecture and data strategy
Compensation

The expected salary range for this role is $192,000-$240,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

#J-18808-Ljbffr