Senior Power BI Engineer

Overview Fully Remote; US ONLY At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). Foot Locker, Inc. is seeking an innovative individual who has a proven track record of building enterprise level platform components to support product development from multiple teams and lines of business. This role isexpected to drive innovation through collaboration across our data science teams and business to help push Foot Locker, inc. to the next level. The team is embarking on a journey of building a brand new data lake platform built using cloud native concepts and the latest tech stacks. Responsibilities • Build new data sets, and products helping support Foot Locker business initiatives.• Help grow our data catalog through ingestions of a variety of third party data sources, both internal and external• Must be able to contribute to self-organizing teams with minimal supervision working within the Agile/ Scrum project methodology• Participate in the continuous envolution of our schema / data model as we find more data sources to pull into the platform• Support our Data Scientists by helping enhance their modeling jobs to be more scalable when modeling across the entire data set• Participate in a collaborative, peer review based environment fostering new ideas via crossteam guilds / specialty groups• Maintain comprehensive documentation around our processes / decision making Qualifications • Bachelors Degree in Computer science or related field,• Minimum 5 years of experience in Analytics Engineering, Business Intelligence Engineering, or Power BI–focused Data Engineering roles. • Extensive experience in data/ semantic modeling (Data Marts, Star/Snowflake, Normalization, SCD2)• Experience with RDMS(SQL,PostgreSQL),Data warehousing and Business Intelligence • Deep experience building enterprise Power BI solutions, including semantic models, DAX, performance optimization, and governed self-service analytics. • Advanced SQL programming skills• Demonstrated experience with agile scrum methodology• Strong desire to learn new technologies and keep up with the latest technologies in the big data space• Must possess well-developed verbal and written communication skills. Preferred (Nice-to-have): • Public cloud experience, preferably Azure or AWS• Experience working with large-scale datasets using platforms like Snowflake; familiarity with Spark/Databricks for data preparation is a plus. • Experience with enabling Data Science and Self Service product development with clean, reliable data sets. At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines: Cameras must be on for all virtual interviews. AI tools are strictly prohibited during interviews or assessments. We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience. Benefits The annual base salary range is $78,500 - $130,000. This range represents the anticipated low and high end of the salary for this position. This role is also eligible to receive short term incentives that align with individual and company performance. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below. Foot Locker Benefits : Employee Discount Paid Time Off Medical | Dental | Vision Coverage 401(k) | Roth 401(k) Life Insurance Flexible Spending Account Opportunities for Advancement Tuition Reimbursement for Qualified Courses Strong Company Culture Employee Resource Groups #LI-KS1