Associate Manager – D&AI Data Integrationops – Ecg – Tibco – Kafka – Sustain

Associate Manager – D&AI Data Integrationops – Ecg – Tibco – Kafka – Sustain

Requirements

• 5+ years of technology work experience in a large-scale, global organization – CPG (Consumer Packaged Goods) industry preferred
• 4+ years of experience in Data Integration, Data Operations, and Analytics, supporting and maintaining enterprise data platforms
• 4+ years of experience working in cross-functional IT organizations, collaborating with teams such as Data Engineering, CloudOps, DevOps, and Analytics
• 3+ years of experience in ETL/EAI tools such as Informatica IICS, PowerCenter, TIBCO, Kafka, Abinitio
• Knowledge in SAP BW, Teradata, and Azure Data Factory is a plus
• 1+ years of leadership/management experience supporting technical teams and contributing to operational efficiency initiatives
• Hands-on knowledge of cloud-based data integration platforms such as Azure Data Services, AWS Redshift, Snowflake, and Google BigQuery
• Familiarity with API-driven data integration (e.g., REST APIs, Kafka), and supporting cloud-based data pipelines
• Basic proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, GitOps, Kubernetes, and Jenkins for automating infrastructure management
• Understanding of Site Reliability Engineering (SRE) principles, with a focus on proactive monitoring and process improvements
• Strong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders
• Ability to effectively advocate for customer needs and collaborate with teams to ensure alignment between business and technical solutions
• Interpersonal skills to help build relationships with stakeholders across both business and IT teams
• Customer Obsession: Enthusiastic about ensuring high-quality customer experiences and continuously addressing customer needs
• Ownership Mindset: Willingness to take responsibility for issues and drive timely resolutions while maintaining service quality
• Ability to support and improve operational efficiency in large-scale, mission-critical systems
• Some experience leading or supporting technical teams in a cloud-based environment, ideally within Microsoft Azure
• Able to deliver operational services in fast-paced, transformation-driven environments
• Proven capability in balancing business and IT priorities, executing solutions that drive mutually beneficial outcomes
• Basic experience with Agile methodologies, and an ability to collaborate effectively across virtual teams and different functions
• Understanding of master data management (MDM), data standards, and familiarity with data governance and analytics concepts
• Openness to learning new technologies, tools, and methodologies to stay current in the rapidly evolving data space
• Passion for continuous improvement and keeping up with trends in data integration and cloud technologies.

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 advocate for customer needs
• Assist in incorporating customer feedback and business priorities into operational processes to ensure continuous improvement
• Contribute to the work intake and Agile processes for data platform teams, ensuring operational excellence through collaboration and continuous feedback
• Support the execution of Agile frameworks, helping drive a culture of adaptability, efficiency, and learning within the team
• Help align the team with a shared vision, ensuring a collaborative approach while contributing to a culture of accountability
• Mentor junior technical team members, supporting their growth and ensuring adherence to best practices in data integration
• Contribute to resource planning by helping assess team capacity and ensuring alignment with business objectives
• Remove productivity barriers in an agile environment, assisting the team to shift priorities as needed without compromising quality
• Support continuous improvement in data integration processes by helping evaluate and suggest optimizations to enhance system performance
• Leverage technical expertise in cloud and computing technologies to support business goals and drive operational success
• Stay informed on emerging trends and technologies, helping bring innovative ideas to the team and supporting ongoing improvements in data operations.

Preferred Qualifications

• Knowledge in SAP BW, Teradata, and Azure Data Factory is a plus.