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You will drive enterprise-level data transformation initiatives, enabling intelligent systems and empowering global organizations to outcreate through advanced data strategies.\nRole and Responsibilities (What You'll Do):\nArchitect, design, and implement scalable data pipelines to process high-volume datasets efficiently across distributed environments.Direct cross-functional data initiatives by collaborating closely with software architects, data scientists, and business stakeholders to align data infrastructure with organizational objectives.Optimize data retrieval performance and storage efficiency by conducting comprehensive performance tuning and system audits.Establish rigorous data governance frameworks, data quality standards, and security protocols to ensure compliance and integrity across all enterprise platforms.Mentor junior and mid-level engineering personnel, fostering technical excellence and adherence to industry best practices in data engineering.Evaluate emerging data technologies and integration frameworks to continuously enhance our enterprise data architecture capabilities.Qualifications (What You'll Bring):\nMust-Have:\nDemonstrated expertise in architecting and managing cloud storage repositories utilizing Azure BLOB for large-scale enterprise applications.Advanced proficiency in designing, scheduling, and monitoring complex data orchestration workflows using Azure Data Factory.Proven experience in developing, optimizing, and deploying large-scale data processing pipelines and analytics workloads using Databricks.\nPreferred:\nBachelor’s or Master’s degree in Computer Science, Information Technology, or a related quantitative discipline.\nDeep domain expertise in enterprise technology services with a strong aptitude for cross-functional leadership, stakeholder management, and strategic 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