Overview As a data engineering manager you will be the key technical expert overseeing PepsiCo s data product build operations and drive a strong vision for how data engineering can proactively create a positive impact on the business You ll be empowered to create lead a strong team of data engineers who build data pipelines into various source systems rest data on the PepsiCo Data Lake and enable exploration and access for analytics visualization machine learning and product development efforts across the company As a member of the data engineering team you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design architecture and implementation of PepsiCo s flagship data products Responsibilities Provide leadership and management to a team of data engineers managing processes and their flow of work vetting their designs and mentoring them to realize their full potential Engages with team members uses informal and structured approaches to career development to focus on individual improvement capabilities and to provide balanced feedback Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers Manage and scale data pipelines from internal and external data sources to support current product launches and drive data quality across data products Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance Responsible for implementing best practices around systems integration security performance and data management Qualifications 10 years of overall technology experience that includes at least 8 years of hands-on software development data engineering and systems architecture 8 years of experience with Data Lake Infrastructure Data Warehousing and Data Analytics tools 8 years of experience in SQL optimization and performance tuning and development experience in programming languages like Python PySpark Scala etc 5 years in cloud data engineering experience in at least one cloud Azure AWS GCP Fluent with Azure cloud services Azure Data Factory ADF ADLS-2 Databricks Lakehouse Workflow SQL Unity catalog Azure Databricks Certification is a plus Experience scaling and managing a team of 5 engineers Experience with integration of multi cloud services with on-premises technologies Experience with data modeling data warehousing and building high-volume ETL ELT pipelines Experience with data quality and data profiling tools like Apache Griffin Deequ and Great Expectations Experience building operating highly available distributed systems of data extraction ingestion and processing of large data sets Experience with at least one MPP database technology such as Redshift Synapse or SnowFlake Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes Experience with version control systems like Github and deployment CI tools Experience with Azure Data Factory Databricks and Mlflow is a plus Experience with Statistical ML techniques is a plus Experience with building solutions in the Supply chain space Digital Procurement Manufacturing Cost Warehouse Network Design is a plus Understanding of metadata management data lineage and data glossaries is a plus Working knowledge of agile development including DevOps and DataOps concepts Familiarity with business intelligence tools such as PowerBI BA BS in Computer Science Math Physics or other technical fields