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Data Platform Jobs in California (NOW HIRING)

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role ...

Integratedcooling

Data Platform Engineer

Santa Cruz, CA · On-site

$125 - $155/hr

As a Data Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

LendingClub Bank

Data Platform Architect

San Francisco, CA · On-site

$75 - $96.50/hr

About the Role This role defines the technical architecture our data and AI platform - the shared infrastructure that powers origination, marketing, credit decisioning, analytics, and AI capabilities ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site

$125K - $155K/yr

As a Data Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

Quantix

Data Platform Engineer

San Francisco, CA

$134K - $162K/yr

Data Platform Engineer Location: San Francisco, CA Type: Direct Hire Our client in the San Francisco, CA area is looking for a Data Platform Engineer to join their team on a direct hire basis. This ...

Monaco

Data Platform Engineer

San Francisco, CA · On-site

$200K - $400K/yr

The Role We're looking for a Data Platform Engineer to help build Monaco's data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. You'll work on ...

Slope

Data Platform Engineer

San Francisco, CA · On-site

$150 - $210/hr

We're consolidating 6-10 disconnected tools into a single, purpose-built platform and redefining what's possible when all the data lives under one roof in the age of AI - this is a category-defining ...

Aptiv

Data Platform Architect

Walnut Creek, CA

$70.50 - $90.75/hr

Data Platform Architect Green Card holder or US Citizen Required ABOUT WIND RIVER Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four ...

Aptiv PLC

Data Platform Architect

Walnut Creek, CA · On-site

$70.50 - $90.75/hr

Data Platform Architect Green Card holder or US Citizen Required ABOUT WIND RIVER Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four ...

Quantix, Inc.

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking a Data Platform Engineer to join a motivated start-up focused on delivering healthcare solutions, where the engineer will design and implement ideas while contributing to the ...

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All JobsData Platform JobsData Platform Jobs in California

Data Platform information

See California salary details

$24.5K

$130.3K

$207.6K

How much do data platform jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data platform in California is $130,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,308.00 and $162,062.00 per year, depending on experience, location, and employer.

What is a data platform?

A Data Platform is a collection of technologies and tools that enable organizations to collect, store, process, manage, and analyze large volumes of data from various sources. It typically includes databases, data warehouses, data lakes, and tools for data integration, analytics, and visualization. Data platforms help businesses make data-driven decisions by providing a unified and scalable environment for handling all their data needs.

What are the key skills and qualifications needed to thrive as a data platform engineer?

To thrive as a Data Platform Engineer, you need strong expertise in database management, data modeling, and proficiency in programming languages such as SQL, Python, or Java, usually supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (e.g., Hadoop, Spark), and certifications like AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and address complex data challenges. These abilities ensure efficient, scalable, and reliable data infrastructure that supports business intelligence and analytics needs.

What are some common challenges data platform professionals face when supporting large-scale data infrastructure?

Data Platform professionals often encounter challenges such as ensuring data reliability, scaling systems to handle increasing volumes, and maintaining security across diverse data sources. Balancing real-time processing with cost-effective storage and managing integration among various tools can add complexity. Collaboration with engineering, analytics, and product teams is key to quickly resolving issues and implementing new features while minimizing downtime.

What does a data platform do?

A data platform is a system that collects, stores, processes, and manages large volumes of data to support analytics and decision-making. Data platform roles often involve working with database technologies, data integration tools, and cloud environments to ensure data accessibility, security, and quality.

What are the most commonly searched types of Data Platform jobs in California?

The most popular types of Data Platform jobs in California are:

What are popular job titles related to Data Platform jobs in California?

For Data Platform jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Platform jobs in California look for?

The top searched job categories for Data Platform jobs in California are:

What cities in California are hiring for Data Platform jobs?

Cities in California with the most Data Platform job openings:

Data Platform jobs near you
Infographic showing various Data Platform job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,326 per year, or $62.7 per hour.

Data Platform Engineer

Living Spaces - Corporate

La Mirada, CA

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Living Spaces rating

7.3

Company rating: 7.3 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

18th of 63 rated furniture retailers

Job description

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role combines strong database engineering experience with modern cloud data services, data integration, automation, analytics enablement, and AI-ready data management. This position will support existing Microsoft SQL Server environments while helping transition the organization toward scalable, secure, and governed data platforms using Microsoft Azure, Microsoft Fabric, and related technologies. The role will collaborate with infrastructure, application development, analytics, and business teams to improve data reliability, accessibility, performance, and overall platform maturity.Position Description

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Design, build, and support modern data platforms across SQL Server, Azure, Microsoft Fabric, and hybrid environments.

  • Support and modernize SQL Server environments through performance tuning, indexing, query optimization, backups, recovery, security, and availability.

  • Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory, Azure Storage, Azure Key Vault, and related services.

  • Support Microsoft Fabric capabilities, including lakehouses, warehouses, pipelines, semantic models, notebooks, and Power BI-ready datasets.

  • Build and maintain data pipelines, ETL/ELT processes, integrations, and data movement patterns across internal systems, cloud platforms, vendor systems, and reporting tools.

  • Assist with data architecture decisions for relational databases, data warehouses, lakehouses, APIs, analytical models, and cloud-native data services.

  • Improve data quality through validation, reconciliation, monitoring, exception reporting, and documentation of trusted data sources.

  • Collaborate with application development teams on database design, data access patterns, schema changes, integration methods, and performance optimization.

  • Support analytics, reporting, automation, and AI initiatives by preparing clean, governed, and reliable enterprise data and designing secure data access patterns.

  • Automate and support data platform operations using T-SQL, PowerShell, Python, Azure CLI, REST APIs, and CI/CD practices for database objects, pipelines, scripts, and cloud configurations.

  • Monitor and troubleshoot data platforms, pipelines, and integrations for performance, reliability, cost, and security, performing root cause analysis and recommending long-term corrective actions.

  • Document data flows, platform architecture, operational procedures, support runbooks, and technical standards, and evaluate new Microsoft data platform capabilities for adoption.

Qualifications
Education/Experience: Bachelor's degree in computer science, Information Technology, Data Engineering, Information Systems, or related field preferred. 5+ years of experience in database engineering, data platform engineering, data engineering, cloud data services, or a related technical role. Strong experience with Microsoft SQL Server, T-SQL, query tuning, indexing, stored procedures, performance troubleshooting, and relational database design. Experience with Azure data services such as Azure SQL, Azure Data Factory, Azure Storage, Azure Synapse, Azure Key Vault, or similar technologies. Experience building or supporting data pipelines, integrations, ETL/ELT workflows, reporting datasets, or analytical data platforms. Experience with Microsoft Fabric, Power BI, lakehouse, warehouse, or semantic modeling concepts preferred. Experience supporting analytics, automation, AI-readiness, enterprise search, or governed data access initiatives preferred. Equivalent combination of education and experience will be considered.
Computer Skills: To perform this job successfully, an individual must be proficient with Microsoft Office programs such as Office 365 and Word. Microsoft SQL Server T-SQL Azure SQL Database / Azure SQL Managed Instance Azure Data Factory Microsoft Fabric Azure Storage / Data Lake concepts Azure Synapse Analytics Power BI semantic models Data modeling ETL/ELT design Data quality validation Python or PowerShell Git Azure DevOps or GitHub Actions CI/CD practices Infrastructure as code concepts API-based data integrations Monitoring and observability Database security and access control Cloud-native data architecture AI-ready data architecture preferred
Certificates and Licenses: Certifications are not required but are preferred. Relevant certifications may include: Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure AI Engineer Associate
Supervisory Responsibilities: This position will not have supervisory responsibilities.
Position Hiring Range

The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.

Compensation: $118,500.00 - $158,000.00

Overtime pay is available for eligible, non-exempt Team Members.Reimbursement for expenses as required by applicable law and Company policy.Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.

Additional available benefits upon meeting eligibility requirements include:

  • Medical (full-time only)

  • Dental (full-time only)

  • Vision (full-time only)

  • 401(k) with Company match (full and part-time)

  • Vacation (full-time only or as otherwise required by applicable law)

  • Paid Sick Leave (full and part-time)

  • Flex or Health Spending Account (for eligible full-time only)

  • Employee Assistance Program (full and part-time)

  • Holiday pay (full-time only)

  • Life insurance (full-time only)

For more details, please visit our website at: Careers (livingspaces.com)

Equal Opportunity Employer

It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

E-Verify

Living Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.

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