At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams.  We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

OVERVIEW:

Are you an innovative experienced technologist with a passion for large scale Enterprise data and analytics solutions and platforms?  This is an opportunity to shape the future of data-driven customer-facing athlete solutions for a leading sports retailer with $14B+ in revenue and 800+ physical stores.  At DICK’S Sporting Goods, we take a people-centric approach to everything we do. Both our Athletes (customers) and our Teammates (employees) are at the center of every decision we make so that we can provide personalized experiences online, in the store, and in your sport. When you join the Technology team at DICK’S Sporting Goods, you’re joining a team that wins together.

Job Scope

This Solution Architect will be hands-on and collaborate with engineering and foundational tech teams to design, build, and deliver technology solutions with working prototypes for proposed business solution designs and to scale solutions into mature DSG enterprise technology capabilities.  Direct Experience with designing and building Service-Oriented & Event-Driven Architectures leveraging Cloud Technologies & Services, Enterprise Storage & Compute platforms, Scaled Data Management solutions, and Third-Party SAAS Integrations is desired. 

As the Solution Architect – Data, you will:

• Drive the technology design and solutioning for our long-term data architecture strategies

• Collaborate with business stakeholders to map business goals into technology capabilities leveraging data as a strategic asset across multiple channels including online, in-store, mobile apps, and 3rd party platforms

• Evaluate, design and demonstrate prototypes for integrating data from multiple 1st and 3rd party sources to create a unified view of enterprise data delivery, storage, and compute solutions

• Work closely with Product Engineering teams to establish Enterprise domain data models, data integration patterns, data governance & lineage, and data platform decisions to accelerate delivery of business data and analytics solutions

• Ensure the proposed solutions are designed to scale and meet the foundational technology guiderails of platforms alignment, security controls, reliability & performance, and cost management

• Deliver artifacts to assess business & systems capability impacts, publish current & transitional systems design diagrams, and evaluate non-functional requirements for foundational tech alignment & planning

• Maintain technology design risks, impacts, and dependency assessments to support the delivery of recommended solutions and technology roadmap planning

To be successful in this role, experience in several areas of our technology stack is desired

• Python, Java / Kotlin, Kubernetes, SQL queries & tuning

• Azure Cloud Ecosystem - Azure Data Lake, Azure Data Factory, Azure Data Bricks, Azure Storage, etc

• Cloud-based data warehouses - Snowflake, Big Query, Synapse

• ETL/ELT data solutions with Medallion architectures

• Databricks with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT)

• BI tooling such as Qlik, MicroStrategy, Tableau, PowerBI or Looker 

• Message queue & event stream processing (Kafka, Flink, Spark Streams) 

• Cloud-native Service architectures with Microsoft Azure & Kubernetes

• End-to-End Scalability, Reliability, and DR solutioning

• Data management principles: Data Lake, Data Mesh, Data Catalog, Data Quality, etc.

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QUALIFICATIONS:

• Bachelor’s degree or Equivalent Experience in Computer Science, Information Technology, or related field

• 7+ years of hands-on experience in software/data engineering and architecture

• 2+ years of experience in scaled cloud data engineering technologies

• Excellent communication and presentation skills

• Demonstrated experience in developing cloud service architectures & solutions

• Ability to understand the business context and outcomes of the domain

• Ability to work on multiple projects simultaneously

• Ability to develop and maintain relationships with stakeholders

• Ability to collaborate with teams across multiple departments and functions

• Ability to publish professional architecture artifacts and documentation

• Ability to provide technical recommendations to technology teams

Targeted Pay Range: $95,200 - $158,800. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay.DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.