Senior Data Platform Engineer

(This position is hybrid - 4 days onsite) in Long Beach, CA.Objective: Lead the design, operation, and evolution of a modern data platform, with a focus on Lakehouse architecture, analytics enablement, and scalable cloud-based data solutions. We are seeking a Senior Data Platform Engineer to help drive our transition to a modern, cloud-based data ecosystem. This role primarily focuses on data platform engineering with Databricks and Azure, while maintaining essential SQL Server operations and enabling data extraction tools with Qlik and Databricks. This position will play a key role in building scalable data solutions, supporting analytics, and advancing our adoption of Lakehouse architecture.Key ResponsibilitiesData Platform Engineering (Primary Focus)Design, build, and optimize data pipelines and processing workflows in DatabricksContribute to the development and operation of the data Lakehouse architecture (Databricks / Delta Lake)Support ingestion, transformation, and organization of large-scale datasetsApply data warehousing concepts to structure high-quality analytical datasetsImprove the performance, scalability, and reliability of data platform workloadsDevelop, enhance, and maintain Qlik dashboards, data models, and applicationsEnsure high-performance, reliable data delivery to business usersPartner with stakeholders to translate requirements into data-driven insightsOptimize underlying data structures for efficient BI consumptionSupport and execute data platform modernization initiatives in AzureHelp migrate and integrate on-prem SQL workloads into a cloud-based architectureAlign data solutions with cloud-native and scalable design principlesSupport SQL Server environments (on-prem and Azure) as neededPerform backups, restore, and migration activities (SQL Server)Assist with performance tuning and database reliability. Ensure proper data governance and recovery strategies Required QualificationsHands-on experience with Databricks (core requirement)Strong experience with Qlik (Qlik Sense and/or QlikView) — requiredSolid understanding of data warehousing concepts and data modeling— requiredExperience with SQL Server (queries, performance tuning, backup/restore)— requiredExperience working with Azure data platformsPreferred QualificationsExperience implementing or supporting Lakehouse architectures (Delta Lake)Experience with ETL/ELT pipelines and data integration frameworksProgramming/scripting experience (Python, SQL, etc.)Familiarity with Azure data services (ADF, Synapse, etc.)Familiarity with No SQL Databases (MongoDB, Cosmos DB, etc.)