Company Description
At Lakeshore, we create innovative learning materials and world-class guest experiences for teachers, parents and children. Since 1954, we’ve grown into a global community—with a thriving e-commerce business, multiple catalogs, 60 retail stores, a peerless national sales force, plus international offices that support our preeminent supply chain division. But today we’re working better, smarter and faster than ever—and setting our sights even higher. We’re building an infrastructure designed for scalability, embracing data-driven decision-making and using technology to improve efficiency and ensure the best tools for the best work. Most importantly, we continue to invest in a diverse team of inquisitive top talent who fuel each other’s passions and curiosity, take risks, try new things, and believe that every new day brings opportunities for growth.
Job Description
We are currently seeking a Director of Data Engineering to transform the way that Lakeshore uses its data to make decisions. Reporting to the Vice President of IT, you will be the lead technical resource of the team. In this role, you will establish a solid foundation of data that will result in improved business efficiency and provide executives with situational awareness. The position also requires you to be the front line of contact with internal customers, therefore executive presence and a customer-first approach is critical. Your team will be a mix of local and offshore resources that work on large enterprise applications and small ad-hoc requests. Applicants should be highly skilled at coordinating timelines, cross-functional resources and priorities to ensure programs are delivered on time. The ideal candidate also possesses extensive experience in data engineering, cloud data warehousing, data architecture and business intelligence.

GOT THE SKILLS AND EXPERIENCE? HERE’S WHAT WE’RE LOOKING FOR:

• 8–10+ years of work experience with an advanced degree in an engineering/quantitative field such as mathematics, computer science or statistics
• 5+ years of team management experience
• Deep subject matter experience in data engineering, cloud data warehousing, data architecture and business intelligence (Snowflake, Redshift, SQL, AWS, Azure, Oracle, QlikView, Domo, BI Publisher, Tableau, GoodData)
• Knowledge of artificial intelligence (AI) disciplines such as machine learning, natural language processing, text analytics and associated development lifecycles
• Highly skilled at coordinating timelines, cross-functional resources and priorities to deliver programs on time
• Ability to juggle multiple projects at once and complete last-minute requests and quick turnarounds
• Strong attention-to-detail skills with a proven ability to work quickly and accurately
• Willingness to challenge the way things have been done in the past
• Must be able to thrive in a fluid and changing environment
  Additional Information

Please refer the Job description for details