At Dicks Sporting Goods, we are creating the future of sport driven by powerful data products and platforms that serve our Athletes and Teammates.
We are looking for an experienced Sr. Data Warehouse Engineer – Enterprise Data Warehouse to focus on improving the availability and quality of data that is made available throughout the organization with specific attention to a particular domain critical to the success of the organization. In this role, you will develop deep knowledge and understanding of the data assets available within our data platforms and act as the subject matter expert on the data and its utility for operational use.
While joining forces with the business, data engineering teammates, and product development partners, your expertise in petabyte-scale data in data lakes, data warehouses, or data marts – in structured, semi-structured, and unstructured formats – will deliver on the DICK’S Data and Analytics organization’s mission to enable data-driven decisions within any action. Joining you along this journey to the best-in-class data footprint will be teammates across data science, platform engineering, and software development, all with a unified strategy and supporting goals.
This role models, implements and nurtures data that ultimately becomes certified or the ‘single source of truth’ for the organization. As such, data stewardship, governance, and compliance routines will depend on successful delivery against these objectives.
Our teammates know that there is an athlete behind every in-store and eCommerce transaction. We go beyond the expected to build technology that makes the DICK’S Sporting Goods’ experience innovative and hassle-free.
COMMITTED TO INCLUSION & DIVERSITY.
We actively seek to create an inclusive and diverse workforce, reflecting the communities we serve. Doing so strengthens our ability to serve all our athletes and drive innovation and growth.
HAVE A PASSION FOR SPORTS.
We believe that sports make people better and we’re determined to be the best sports company in the world. Whether you’re an athlete or sports enthusiast, we bring our passion for the game into everything we do.
GET BETTER EVERY DAY.
The journey is never over. We know that to be the best, we must get a little better each day. We focus on delivering 1% more in everything we do.
What we’re looking for
What you will bring:
5-7 years of Data Warehousing and Data Modeling experience.
Strong understanding of Normalized/Dimensional model disciplines and similar data warehousing techniques.
Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation in petabyte-scale data sets.
Expert in SQL and/or SQL-based languages and performance tuning of SQL queries.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Collaborate with Product and analytics teams on normalizing and aggregating large data sets based on business needs and requirements.
Data auditing skills to verify data integrity, understand discrepancies, and resolve them with the highest sense of urgency.
Experience with various data storage technologies – e.g. RDBMS, columnar, tabular, document store, NoSQL
Experience with cloud-based data warehouses – e.g. Snowflake, BigQuery, Synapse, RedShift, etc
Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
Demonstrated ability to share findings with non-technical or senior executive individuals.
Familiarity with Analytical/Reporting Solutions like Qlik Sense, PowerBI is a plus
Job Duties and Responsibilities:
Work directly with the developers, system architects, and users to review requirements and deliver best-practice database models.
Work with stakeholders including the product, data and architecture teams to assist with data-related technical issues and support their data infrastructure needs.
Provide proactive design, operational support, and governance for privacy and security policy for data.
Bachelor's Degree Library Science, Information Systems, Finance, Information Technology or equivalent experience
Exceptional Communication Skills
Any Public Cloud certification focused on data warehousing
Any certification on specific database technology
Experience developing models in modern public data warehousing environments like Snowflake, Synapse, BigQuery,
Experience developing dimensional models and running quries on edge databases such as Oracle , PostgreSQL, MariaDB/MySql, or SQL Sever