Jobs / Living Spaces
Data Platform Engineer
Living Spaces · La Mirada, CA, United States
La Mirada, CA, United StatesExp: 5+ yrsHybrid
Remuneration
Not specified
Location
La Mirada, CA, United States
Visa sponsorship
Not specified
Job summary
The Data Platform Engineer designs, supports, and modernizes enterprise data platforms across on-premises and cloud environments, combining strong database engineering with modern cloud data services. This role supports existing Microsoft SQL Server environments while transitioning the organization toward scalable, secure, and governed data platforms using Microsoft Azure, Microsoft Fabric, and related technologies. The engineer collaborates with various teams to improve data reliability, accessibility, performance, and overall platform maturity.
Benefits
Overtime payReimbursement for expensesTeam bonusMedical (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)
Qualifications
- 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.
- Proficient with Microsoft Office programs such as Office 365 and Word.
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.
Skills
AzureAzure DevOpsAzure Key VaultGitGitHubGitHub ActionsPowerShellPythonRESTVault
Certifications
Microsoft Certified: Azure Data Engineer AssociateMicrosoft Certified: Azure Database Administrator AssociateMicrosoft Certified: Fabric Analytics Engineer AssociateMicrosoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Power BI Data Analyst AssociateMicrosoft Certified: Azure AI Engineer Associate
Degrees
Bachelor’s degree in computer scienceBachelor’s degree in Information TechnologyBachelor’s degree in Data EngineeringBachelor’s degree in Information Systems
Relocation
No