Data Platform Engineer

Reposted 4 Days Ago
La Mirada, CA, USA
In-Office
119K-158K Annually
Senior level
Logistics • Retail • Transportation • Manufacturing
The Role
Design, build, and modernize enterprise data platforms across SQL Server, Azure, and Microsoft Fabric. Support and tune databases, build ETL/ELT pipelines, implement Azure data services, enable analytics and AI-readiness, automate operations with scripting and CI/CD, monitor performance and reliability, and document platform architecture and procedures.
Summary Generated by Built In

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.

Applicant Privacy

Skills Required

  • 5+ years experience in database engineering, data platform engineering, or related technical role
  • Strong experience with Microsoft SQL Server, T-SQL, query tuning, indexing, stored procedures, and relational database design
  • Experience with Azure data services (Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory, Azure Storage, Azure Synapse Analytics, Azure Key Vault)
  • Build and support data pipelines, ETL/ELT workflows, integrations, and reporting/analytical datasets
  • Proficiency with scripting and automation: Python or PowerShell, Azure CLI, REST APIs
  • Experience with version control and CI/CD: Git, Azure DevOps or GitHub Actions, CI/CD practices
  • Monitoring, observability, database security, access control, and troubleshooting data platform performance and reliability
  • Familiarity with infrastructure as code concepts and API-based data integrations
  • Proficiency with Microsoft Office 365 (Word)
  • Bachelor's degree in Computer Science, IT, Data Engineering, Information Systems, or related field (or equivalent experience)
  • Experience with Microsoft Fabric, Power BI semantic models, lakehouse/warehouse concepts, notebooks, and semantic modeling
  • Experience supporting analytics, automation, AI-readiness, enterprise search, or governed data access initiatives
  • Relevant Microsoft certifications (Azure Data Engineer, Azure Database Administrator, Fabric Analytics Engineer, Power BI, Azure Solutions Architect, Azure AI)
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The Company
2,500 Employees
Year Founded: 2003

What We Do

Living Spaces is one of the fastest-growing furniture and home accessories retailers in the United States. The company provides a convenient shopping experience featuring an unmatched selection of home furnishings across various styles, competitive pricing, and same-day delivery services. They are dedicated to making beautiful homes accessible to everyone while maintaining a commitment to community giving.

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