Senior Data Ops Developer

Overview As a DataOps Developer, you design and run cloud-native data pipelines to enable scalable data ingestion, storage, and analysis. You’ll collaborate with Data Platform, Analytics, Quote-to-Cash, and Quote-to-Fulfillment teams to align data solutions with business needs. The role emphasizes automating data processes, ensuring quality, and leveraging Azure-based services to support large data volumes. You’ll influence data storage architectures and contribute to a resilient data platform that accelerates insights and decision-making. Compensation / Benefitshealth and wellness benefitsinternal mobility and mentorshipcareer development with LinkedIn Learninginclusive, diverse workplacework-life balanceglobal mobility support ResponsibilitiesDesign, implement, and maintain cloud-based data pipelines for ingestion, storage, processing, and analysisCollaborate with data engineers, analytics teams, and business stakeholders to translate requirements into scalable solutionsBuild automated solutions supporting Quote-to-Cash, Quote-to-Fulfillment and other business processesEvaluate Azure infrastructure and cloud services for scalability, performance, cost, security, and operationsIntegrate data from multiple sources while preserving quality, integrity, and timelinessDesign and optimize data storage and processing solutions (data lakes, data warehouses, data marts, Azure SQL, Spark-based workflows)Adhere to company policies, security requirements, and internal controls Key requirements2–3+ years in data engineering, analytics engineering, DataOps, BI engineering, or related fieldStrong SQL skills and experience with data pipelines and data environments (data warehouses/lairs)Experience gathering requirements from business stakeholders and explaining technical concepts to varied audiencesStrong analytical and creative problem-solving skills with process-improvement mindsetExcellent written and verbal communication and ability to tailor messaging to audienceAbility to work independently, take ownership, and collaborate in a proactive teamBachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent practical experiencecommunicationproblem-solvingcollaborationAzureAzure SQLAzure Data Lake