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Posted 4 months ago
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Role OverviewWe are seeking a Senior Data Engineer to design, build, and operate modern data platforms in Azure. This is a hands-on role focused on building reliable, scalable ETL/ELT pipelines and lakehouse architectures that support analytics, reporting, and advanced use cases such as machine learning and AI-driven insights.You will work closely with client engineering, analytics, and business stakeholders to translate data needs into well-architected technical solutions. This role is ideal for someone who enjoys owning data pipelines end-to-end and thrives in a consulting-style environment where quality, performance, and clarity matter.Key Focus AreasSQL Server / SSMS (including tuning and core database tasks)ETL development using Azure Data FactoryDatabricks / Spark for large-scale data processingMicrosoft Fabric / OneLakeMedallion (Bronze / Silver / Gold) lakehouse architectureKey ResponsibilitiesDesign, build, and maintain ETL/ELT pipelines using Azure Data Factory and DatabricksImplement and operate within a Medallion (Bronze / Silver / Gold) data architectureOptimize SQL Server workloads to support analytics and reporting use casesSupport and extend data solutions built on Microsoft Fabric and OneLakeEnsure data quality, reliability, performance, and scalability across all pipelinesPartner with stakeholders to understand business requirements and translate them into technical solutionsTroubleshoot and resolve data pipeline and performance issuesParticipate in agile delivery practices including sprint planning, peer reviews, and production deploymentsContribute to documentation and data engineering best practices at Tech9Required Skills & Experience5+ years of experience in data engineering or database engineeringStrong experience with SQL Server and performance tuningHands-on experience with Azure Data FactoryExperience using Databricks and Apache SparkExposure to Microsoft Fabric or modern lakehouse platformsSolid understanding of OLTP vs. OLAP data patternsExperience building and supporting production-grade data pipelinesStrong communication skills and ability to work with technical and non-technical stakeholdersPreferred Skills & ExperiencePython for data engineering or pipeline developmentInfrastructure as Code (Terraform, Bicep, or ARM templates)Experience with Azure data services such as Cosmos DBExperience supporting analytics, ML, or LLM-driven data pipelinesBackground working in consulting or client-facing delivery environmentsAbout Tech9Tech9 is shaking up a 20-year-old industry, and we're not slowing down. Recognized by Inc. 5000 as one of the nation’s fastest-growing companies, we are dedicated to building innovative, high-quality software solutions. Our team is passionate about delivering technology that makes an impact. We offer a 100% remote working environment with a collaborative and supportive culture, allowing you to focus on what you do best.
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