Why WWT?
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, World Wide Technology (WWT), a global technology solutions provider leading the AI and Digital Revolution, with $20 billion in annual revenue, combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.
With nearly 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and leadership focus on diversity and inclusion. With this culture at its foundation, WWT bridges the gap between business and technology to make a new world happen for its customers, partners, and communities.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What will you be doing?
Responsibilities:
Manage the performance, career development, and growth of Data Engineers, Architects, and Team Leads, providing coaching, feedback, and guidance. Recruit, onboard, and retain top talent for the Data Engineering team, ensuring a diverse and inclusive culture. Assist in defining and implementing best practices, standards, and processes for data engineering, ensuring alignment with the data governance, quality, and architecture. Oversee the design, development, testing, deployment, and operation of data pipelines. Collaborate with Architects, Technical Leads, Product Managers/Owners, and stakeholders to understand organizational goals and assist in defining the data engineering roadmap. Ensure the Data Engineering team is delivering solutions efficiently and effectively via the Agile methodology. Partner with the team to ensure Data Engineering solutions are highly available, performant, and reliable. Balance the delivery of data sources that solve today’s problems vs. those that scale for the future. Drive innovation and continuous improvement in the Data Engineering domain, exploring new technologies, patterns, and solutions. Manage escalations and shifting priorities. Collaborate with other IT leaders on cross-team and departmental opportunities.