Data Engineering Lead (Hybrid)

<div class="section page-centered"> <p><strong>About Rewards Network </strong></p> <p>For 41 years, Rewards Network has been helping restaurants grow revenue, increase traffic, and boost customer engagement through innovative financial, marketing services, and premier dining rewards programs. By offering unique card-linked offers, we introduce diners to fantastic restaurant experiences, leveraging advanced technology and data analytics to deliver value to restaurants, diners, and our strategic partners' loyalty programs. </p> <p><strong>Our Culture </strong></p> <p>At Rewards Network, you'll be part of a driven and diverse team that excels in collaboration, issue resolution, and taking ownership of both personal growth and the company's success. We take pride in partnering with the world's most powerful loyalty programs to drive full-price paying customers to local restaurants through marketing services and flexible funding options. Our engaging and rewarding environment is designed to help you gain your full potential. </p> <p><strong>Job Overview</strong></p> <p><span data-contrast="auto">The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data science functions. The team is mid-migration —actively building on a </span><em><span data-contrast="auto">modern</span></em><span data-contrast="auto"> stack— and this role exists to ensure disciplined execution, enforce architectural clarity and consistency. </span><span data-ccp-props="{"335559739":200}"> </span></p> <p><span data-contrast="auto">The right person is a hands-on player-coach that is comfortable building teams as we invest in building out this competency as a core pillar of our long-term competitive advantage and strategy. That means assessing the current in-flight build and making deliberate decisions about what to keep and what to replace. Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks.  </span><span data-ccp-props="{"335559739":200}"> </span></p> </div> <div class="section page-centered"> <p><strong>This is a hybrid position that requires in office presence 3 days a week (Tuesday-Thursday) in Chicago. </strong></p> <div class="section page-centered"> <h3><span class="TextRun SCXW130099500 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW130099500 BCX0">What </span><span class="NormalTextRun SCXW130099500 BCX0">you’ll</span><span class="NormalTextRun SCXW130099500 BCX0"> bring to the table: </span><span class="NormalTextRun SCXW130099500 BCX0">(Responsibilities)</span></span></h3> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Establish and enforce architecture standards</span></strong><span data-contrast="auto"> that ensure consistent designs that produce repeatable results. </span><span data-ccp-props="{"335559739":160}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Assess the current state of our data infrastructure </span></strong><span data-contrast="auto">— evaluate what needs refactoring, and what should be replaced — then execute on that plan with the team.</span><span data-ccp-props="{"335559739":160}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><strong><span data-contrast="auto">Lead the continued build-out of the modern data stack</span></strong><span data-contrast="auto">, including ELT pipelines, stream ingestion, transformation logic along with storage and compute — serving as the technical authority when the team needs a decision made.</span><span data-ccp-props="{"335559739":160}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><strong><span data-contrast="auto">Hire and develop data engineering talent</span></strong><span data-contrast="auto">, grow the team with engineers experienced in modern ELT architectures and develop the existing team members through mentorship, code review, and technical leadership.</span><span data-ccp-props="{"335559739":160}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><strong><span data-contrast="auto">Define and maintain the data