[Remote] Azure Data Engineer(Data Lake + Databricks )

Note: The job is a remote job and is open to candidates in USA. Scalence L.L.C. is seeking a Senior Azure Data Engineer to support the evolution and optimization of an enterprise Marketing Data Lake environment. The role involves data engineering, data quality, metadata management, and collaborating with stakeholders to meet data requirements.ResponsibilitiesAssess existing data lake tables and create a structured data inventoryReview and optimize data feeds, schemas, and storage structuresImprove data performance, scalability, and documentation standardsCollaborate with business and technical stakeholders to understand data requirementsIdentify, onboard, and integrate new marketing and non-marketing data sourcesDesign, develop, and test new data ingestion pipelinesEnsure data quality, consistency, and reliability across feedsSupport stakeholder enablement and data adoption initiativesReplace manual data upload processes with automated pipelinesDesign and implement data quality frameworks, validations, and monitoringPerform detailed quality reviews and remediation activitiesDevelop Proof of Concepts (PoCs) for automated quality controlsDocument data lineage, transformations, metadata, and business rulesDevelop data dictionaries, taxonomy standards, and PII handling frameworksSupport ER model development and data governance initiativesContribute to metadata management and artifact standardizationPartner with cross-functional teams within the data communitySupport access management, platform onboarding, and user enablementMaintain data repositories and knowledge-sharing documentationSkills8+ years of Data Engineering experienceStrong expertise in Azure Data Lake Storage (ADLS)Hands-on experience with Databricks and Azure Data Factory (ADF)Advanced SQL development and optimization skillsExperience building modern ETL/ELT data pipelinesKnowledge of data quality frameworks and monitoring solutionsExperience with data lineage, metadata management, and governanceStrong documentation and stakeholder communication skillsExperience with SAP Data Lake, SAP Datasphere, BDC, or CollibraExposure to marketing data platforms and large-scale data lake environmentsKnowledge of PII governance, taxonomy management, and data catalogingExperience with Azure cloud ecosystem and enterprise data architectureBenefitsCompetitive salary and benefits packageSupportive and collaborative work environmentOpportunities for professional growth and developmentCompany OverviewIn today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. It was founded in undefined, and is headquartered in Morristown, New Jersey, US, with a workforce of 501-1000 employees. Its website is https://www.scalence.com/.