Data Platform Engineer

Living Spaces Furniture; La Mirada (CA); On-site; USD 118,500 - 158,000; Full time

Benefits offered by this job

Medical (full-time only)

Dental (full-time only)

Vision (full-time only)

401(k) with Company match

Vacation

Paid Sick Leave

Flex or Health Spending Account

Employee Assistance Program

Holiday pay

Life insurance

Job summary

Living Spaces Furniture is seeking a Data Platform Engineer to design and modernize data platforms using SQL Server and Azure technologies. This role involves collaboration across teams to improve data reliability, accessibility, and performance.

Ideal candidates will have a Bachelor's degree related to IT and 5+ years of experience in database engineering. Proficiency in tools like Azure Data Factory and Microsoft SQL Server is essential. Competitive compensation and benefits are provided.

Qualifications

• 5+ years experience in database engineering and cloud data services.
• Strong experience with Microsoft SQL Server and T-SQL.
• Experience with Azure data services like Azure SQL and Azure Data Factory.

Responsibilities

• Design, build, and support data platforms across SQL Server and Azure.
• Implement Azure data services for data storage and processing.
• Collaborate with teams to enhance data reliability and performance.

Skills

Microsoft SQL Server

T-SQL

Azure SQL Database

Azure Data Factory

Microsoft Fabric

Power BI

Python

PowerShell

Education

Bachelor’s degree in Computer Science

Tools

Azure Synapse Analytics

Data modeling

CI/CD practices

Git

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.

Essential Duties and Responsibilities

• 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

• 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

Position Hiring Range

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

Additional Available Benefits

• 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)

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.