Associate Manager, D&AI Data IntegrationOps (ECG, TIBCO, KAFKA - Sustain)

Overview

• We are seeking an Associate Manager – Data IntegrationOps to support and assist in managing data integration and operations (IntegrationOps) programs within our growing data organization. In this role, you will help maintain and optimize data integration workflows, ensure data reliability, and support operational excellence. This position requires a solid understanding of enterprise data integration, ETL/ELT automation, cloud-based platforms, and operational support.
• Support the management of Data IntegrationOps programs by assisting in aligning with business objectives, data governance standards, and enterprise data strategies
• Monitor and enhance data integration platforms by implementing real-time monitoring, automated alerting, and self-healing capabilities to help improve uptime and system performance under the guidance of senior team members
• Assist in developing and enforcing data integration governance models, operational frameworks, and execution roadmaps to ensure smooth data delivery across the organization
• Support the standardization and automation of data integration workflows, including report generation and dashboard refreshes
• Collaborate with cross-functional teams to help optimize data movement across cloud and on-premises platforms, ensuring data availability, accuracy, and security
• Provide assistance in Data & Analytics technology transformations by supporting full sustainment capabilities, including data platform management and proactive issue identification with automated solutions
• Contribute to promoting a data-first culture by aligning with PepsiCo’s Data & Analytics program and supporting global data engineering efforts across sectors
• Support continuous improvement initiatives to help enhance the reliability, scalability, and efficiency of data integration processes
• Engage with business and IT teams to help identify operational challenges and provide solutions that align with the organization’s data strategy
• Develop technical expertise in ETL/ELT processes, cloud-based data platforms, and API-driven data integration, working closely with senior team members
• Assist with monitoring, incident management, and troubleshooting in a data operations environment to ensure smooth daily operations
• Support the implementation of sustainable solutions for operational challenges by helping analyze root causes and recommending improvements
• Foster strong communication and collaboration skills, contributing to effective engagement with cross-functional teams and stakeholders
• Demonstrate a passion for continuous learning and adapting to emerging technologies in data integration and operations

Responsibilities

• Support and maintain data pipelines using ETL/ELT tools such as Informatica IICS, PowerCenter, DDH, SAP BW, and Azure Data Factory under the guidance of senior team members
• Assist in developing API-driven data integration solutions using REST APIs and Kafka to ensure seamless data movement across platforms
• Contribute to the deployment and management of cloud-based data platforms like Azure Data Services, AWS Redshift, and Snowflake, working closely with the team
• Help automate data pipelines and participate in implementing DevOps practices using tools like Terraform, GitOps, Kubernetes, and Jenkins
• Monitor system reliability using observability tools such as Splunk, Grafana, Prometheus, and other custom monitoring solutions, reporting issues as needed
• Assist in end-to-end data integration operations by testing and monitoring processes to maintain service quality and support global products and projects
• Support the day-to-day operations of data products, ensuring SLAs are met and assisting in collaboration with SMEs to fulfill business demands
• Support incident management processes, helping to resolve service outages and ensuring the timely resolution of critical issues
• Assist in developing and maintaining operational processes to enhance system efficiency and resilience through automation
• Collaborate with cross-functional teams like Data Engineering, Analytics, AI/ML, CloudOps, and DataOps to improve data reliability and contribute to data-driven decision-making
• Work closely with teams to troubleshoot and resolve issues related to cloud infrastructure and data services, escalating to senior team members as necessary
• Support building and maintaining relationships with internal stakeholders to align data integration operations with business objectives
• Engage directly with customers, actively listening to their concerns, addressing challenges, and helping set clear expectations
• Promote a customer-centric approach by contributing to efforts that enhance the customer experience and empower the team to adv