D&ai Data Operations, Sector Data Lake

Overview:**We Are PepsiCo**Join PepsiCo and Dare for Better We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place.Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.**Know more**:PepsiCoJobs**Join PepsiCo, dare for better.****Responsibilities**:**The Opportunity**- Seeking a Manager, Data Operations, to support our growing data organization. In this role, you will play a key role in maintaining data pipelines and corresponding platforms (on-prem and cloud) while collaborating with global teams on DataOps initiatives.- Manage the day-to-day operations of data pipelines, ensuring governance, reliability, and performance optimization on Microsoft Azure. This role requires hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, real-time streaming architectures, and DataOps methodologies.- Ensure availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence.- Support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy.- Assist in implementing real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency.- Contribute to the development of governance models and execution roadmaps to optimize efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments.- Work on CI/CD integration, data pipeline automation, and self-healing capabilities to enhance enterprise-wide data operations.- Collaborate on building and supporting next-generation Data & Analytics platforms while fostering an agile and high-performing DataOps team.- Support the adoption of Data & Analytics technology transformations, ensuring full sustainment capabilities and automation for proactive issue identification and resolution.- Partner with cross-functional teams to drive process improvements, best practices, and operational excellence within DataOps.**Your Impact**As Manager, D&Ai Data Operations, Sector Data Lake your scope would consist of:- Support the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics.- Assist in managing end-to-end data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability.- Ensure seamless batch, real-time, and streaming data processing while focusing on high availability and fault tolerance.- Contribute to DataOps automation initiatives, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps, Terraform, and Infrastructure-as-Code (IaC).- Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to enable data-driven decision-making.- Work with IT, data stewards, and compliance teams to align DataOps practices with regulatory and security requirements.- Support data operations and sustainment efforts, including testing and monitoring processes to support global products and projects.- Assist in data capture, storage, integration, governance, and analytics initiatives, collaborating with cross-functional teams.- Manage day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements.- Engage with SMEs and business stakeholders to align data platform capabilities with business needs.- Participate in the Agile work intake and management process to support execution excellence for data platform teams.- Collaborate with cross-functional teams to troubleshoot and resolve issues related to cloud infrastructure and data services.- Assist in developing and automating operational policies and procedures to improve efficiency and service resilience.- Support incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies.- Foster a customer-centric environment, advocating for operational excellence and continuous service improvements.- Contribute to building a collaborative, high-performing team culture focused on automation and efficiency in DataOps.- Adapt to