Lead Data Engineer - Data Platform

Lead Data Engineer - Data Platform

This job is no longer open

At DICKS 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 worlds greatest sports team, apply to join our team today!

OVERVIEW:

At Dicks Sporting Goods, we are creating the future of sport driven by powerful data products and platforms that serve our Athletes and Teammates. Join a group of bright, talented, and kind engineers in a team that has very high visibility across the organization.

The Data and Analytics organization is seeking a Data Platform Engineer to design, build, and support platforms that will power the next generation of analytical and ML solutions here at Dicks Sporting Goods. The ideal candidate has a passion to create reliable and scalable platforms while driving down the total cost of ownership.

What you will do:

  • Work with team to identify necessary resources and automate their provisioning (CI/CD) pipelines and Infrastructure as Code (IaC)

  • Write custom code or scripts to automate common tasks, infrastructure, monitoring services, and test cases

  • Deploy, configure, and maintain enterprise data management solutions

  • Create meaningful dashboards: logging, alerting, and responding to ensure that issues are captured and addressed proactively

  • Participate in an on-call rotation for support during and after business hours

  • Proactively review the performance and capacity of all aspects of production: code, infrastructure, data, and message processing

  • Drive the long-term technical strategy of the team, especially focused on scalable, resilient architecture

  • Make recommendations and execute cost saving strategies for cloud resources

  • Participate in learning activities around modern cloud architecture and design and development core practices (communities of practice)

  • Increase business acumen by learning about other parts of the business

QUALIFICATIONS:

  • The ideal candidate will have demonstrable experience coding and scripting using languages like Python, JavaScript, TypeScript, etc.

  • Strong in architecting and managing cloud platforms, Azure preferred.

  • Hands-on experience in continuous delivery and continuous integration

  • Extensive experience in the use of Infrastructure as Code tools (Terraform)

  • Solid technical acumen - including understanding and framing problems, planning and designing the solution, developing high quality software, and operationalizing services

  • Experience on Kubernetes and containerization technologies like Docker

  • Comfort with agile delivery methodologies in a fast-paced complex environment Scrum, SAFe

  • Experience in working closely with Security and Infrastructure groups to onboard Cloud data solutions for production use

  • Strong communication skills across different mediums to craft compelling messages to drive action and alignment

  • Natural curiosity and tendency to get excited to dig in and understand how things work

Preferred Qualifications

  • 5+ years of hands-on experience with infrastructure-as-code technologies (e.g. Terraform, CloudFormation, Azure Resource Manager), source code management (e.g. GitHub), and build automation (e.g. Jenkins, GitHub Actions)

  • 9+ years of experience in scripting languages such as Python, Shell Scripting etc.

  • 5+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others

  • Familiarity with Snowflake and Azure Ecosystem (Azure Data lake, Azure Data Factory, Azure Data Bricks, Azure Storage, Cosmos DB, ADO)

#LI-HC1

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. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.

  • The ideal candidate will have demonstrable experience coding and scripting using languages like Python, JavaScript, TypeScript, etc.

  • Strong in architecting and managing cloud platforms, Azure preferred.

  • Hands-on experience in continuous delivery and continuous integration

  • Extensive experience in the use of Infrastructure as Code tools (Terraform)

  • Solid technical acumen - including understanding and framing problems, planning and designing the solution, developing high quality software, and operationalizing services

  • Experience on Kubernetes and containerization technologies like Docker

  • Comfort with agile delivery methodologies in a fast-paced complex environment Scrum, SAFe

  • Experience in working closely with Security and Infrastructure groups to onboard Cloud data solutions for production use

  • Strong communication skills across different mediums to craft compelling messages to drive action and alignment

  • Natural curiosity and tendency to get excited to dig in and understand how things work

Preferred Qualifications

  • 5+ years of hands-on experience with infrastructure-as-code technologies (e.g. Terraform, CloudFormation, Azure Resource Manager), source code management (e.g. GitHub), and build automation (e.g. Jenkins, GitHub Actions)

  • 9+ years of experience in scripting languages such as Python, Shell Scripting etc.

  • 5+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others

  • Familiarity with Snowflake and Azure Ecosystem (Azure Data lake, Azure Data Factory, Azure Data Bricks, Azure Storage, Cosmos DB, ADO)

#LI-HC1

This job is no longer open
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