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Azure Data Platform Engineer Jobs in California (NOW HIRING)

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance ... engineering, data platform engineering, data engineering, cloud data services, or a related ...

PG&E Corporation

Data Platform Engineer

Oakland, CA · Hybrid

$49.04 - $77.88/hr

Position Summary The Data Platform Engineer (DPE) builds and supports modern data infrastructure ... The DPE manages cloud storage services, including AWS (S3, EBS, EFS, FSx), Azure (Blob Storage ...

New

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... data. As aData Platform Engineer, you will play a critical role in designing, building, and ... You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready ...

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 ...

RIVO Holdings, LLC

Senior Data Platform Engineer

San Diego, CA · On-site

$112K - $152K/yr

As our first in-house Senior Data Platform Engineer , you'll design the foundation for analytics ... Azure Data Lake Storage, or similar modern cloud data technologies. * Data Engineering, Integration ...

RIVO Holdings, LLC

Senior Data Platform Engineer

San Diego, CA · On-site

$112K - $152K/yr

As our first in-house Senior Data Platform Engineer , you'll design the foundation for analytics ... Azure Data Lake Storage, or similar modern cloud data technologies. * Data Engineering, Integration ...

RIVO Holdings, LLC

Senior Data Platform Engineer

San Diego, CA · On-site

$112K - $152K/yr

As our first in-house Senior Data Platform Engineer , you'll design the foundation for analytics ... Azure Data Lake Storage, or similar modern cloud data technologies. * Data Engineering, Integration ...

Omega Solutions, Inc.

Azure Data Architect

Santa Clara, CA · On-site

$74.75 - $96.25/hr

... Developer, SQL Query Analyzer, PowerBI, Visual Studio, TFS, Voltage Decryption Preferred : • Microsoft Azure Designing and Implementing Cloud Data Platform Solutions (70-473) Company : Omega was ...

Apple

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ... Experience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure ...

Socket.dev

AI Data Platform Engineer

Cupertino, CA · On-site

$170 - $250/hr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ... Experience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure ...

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Azure Data Platform Engineer information

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

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

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

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

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

What cities in California are hiring for Azure Data Platform Engineer jobs?

Cities in California with the most Azure Data Platform Engineer job openings:

Azure Data Platform Engineer jobs near you
Infographic showing various Azure Data Platform Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Platform Engineer

Living Spaces - Corporate

La Mirada, CA

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Key responsibilities

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

  • Build and maintain data pipelines, ETL/ELT processes, and data integrations across various systems and platforms.

  • Monitor, troubleshoot, and optimize data platforms, pipelines, and integrations for performance, reliability, cost, and security.

Living Spaces rating

7.2

Company rating: 7.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

19th 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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