Hiring: Sr. Director, Enterprise Integrations & Data Engineering Company: YETI Location: Austin, TX Job Posted Time: 2026-09-03 10:43:13 Employment Type: Contract Target Skills & Keywords : AI, BigQuery, Cloud Native, Data Pipeline, Data Warehouse, Databricks, GCP, MLOps, Machine Learning About the job Experience: •15 years of experience in Technology roles, with extensive experience in data engineering and integrations, or equivalent combination of education and experience •10 years of people management experience, managing both internal and external (contract) resources of varying seniority •5 years demonstrated leadership experience in complex business and technical environments, specifically in developing and maintaining large analytical data warehouses (BI/Big data) and a leader in technical problem solving and data integration tools •At least 5 years demonstrated leadership experience in complex business and technical environments, specifically in developing and maintaining large analytical data warehouses (BI/Big data) and a leader in technical problem solving and data integration tools Required Skills: •Work cross-functionally across engineering, product, sales, and various other teams in support of successful implementations. •Modernize core data infrastructure and data sets to support planned business growth. •Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. •Lead and manage end to end cloud native data platform/data warehouse solutions, provide data and capabilities that are scalable for Data Products & AI/ML Solutions for the enterprise and ensuring the architecture is optimized to meet the requirements and needs of the business. •Provide the necessary tools, technologies, data architectures and data stewardship to allow the organization to leverage analytics for making business decisions with both structured and unstructured data, while managing quality, data accuracy and security. •Identify, design, and implement engineering process improvements through automating manual processes, optimizing data pipelines, re-designing services for greater scalability. •Partner cross-functionally with BI Engineers, Software Engineers, Data Scientists and other business stakeholders to deliver high quality data architecture and pipelines. •Provide strategy and tools necessary for data exploration, reporting and ability to move towards Artificial Intelligence (AI) and Machine Learning (ML) models. Qualifications: •Bachelor’s degree required •Greater than 15 years of experience in Technology roles, with extensive experience in data engineering and integrations, or equivalent combination of education and experience •Greater than 10 years of people management experience, managing both internal and external (contract) resources of varying seniority •In-depth knowledge of next gen data practices (e.g., MLOps, Data Ops, Data Science) and experience applying them in an enterprise organization. •Fluent in data technologies such as data governance tooling, data platform technologies, and enterprise/data architecture principles. •Analytical mindset for addressing complex challenges •Passion for building outstanding teams and creating an environment where individuals can do their best work •Executive presence and the ability to effectively communicate across varying audiences •Strong business and commercial acumen Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!