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Ovative Group

engineering opportunity

Lead Engineer, Data Platform

The Lead Engineer will serve as the technical owner of Ovative’s RAG-based AI Analytics Platform, leading its design and delivery. Responsibilities include building platform components, integrating with enterprise systems, and translating business questions into platform capabilities.

Minneapolis, Minnesota, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Ovative Group?

About Ovative Group

Ovative Group is an independent, full-funnel media,

measurement, and creative firm. Leveraging our deep industry expertise, we help

brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney,

Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media

and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our

proprietary MarTech platform, EMRge helps businesses transform marketing into a

driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our

differentiated approach to holistic media buying, planning, and measurement,

EMRge is the first MarTech platform to measure businesses holistically. We're

all about raising the bar every day, and it shows. Our work has been recognized

by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine

Land.

About the Role

We are seeking a Lead Engineer to join our rapidly growing

product and engineering development team. Our company specializes in

enterprise-level media measurement and optimization across various industries.

In this role, you will

  • lead a cross-functional team responsible for creating,
  • optimizing, and maintaining scalable software and data solutions to enhance
  • performance, stability, and scalability. You will play a pivotal role in leading
  • the team and working closely with internal and client stakeholders throughout
  • the entire software development lifecycle, from concept to deployment. The ideal
  • candidate will bring extensive experience in iterative development practices, a
  • deep knowledge of version control (e.g., GitHub), and both conceptual and
  • pragmatic problem-solving skills. You champion AI-assisted development across
  • your teams, establishing practices that balance velocity with code quality and
  • security. Your outstanding attention to detail and strong written and oral
  • communication skills will enable you to work directly with business leaders and
  • users, understanding their objectives, translating them into technical
  • solutions, and leading your team to deliver. As a key technical leader, you will
  • have the opportunity to mentor team members, lead the delivery of innovative
  • solutions, drive the adoption of cutting-edge technologies, and foster your own
  • professional growth.

Responsibilities

  • of a Lead Engineer, Data Platform: • Lead
  • the technical creation, architecture, design, and implementation of products,
  • ensuring their scalability, operational excellence, and significant business
  • impact. • Proactively introduce new methodologies, technologies, or
  • optimizations that increase efficiency, scale, and value across development
  • operations. • Directly engage with clients and internal stakeholders to
  • understand business goals, gather requirements, and translate them into
  • detailed, actionable technical requirements. • Define and be accountable for
  • providing clear documentation across technical and non-technical audiences,
  • including specifications, architecture decisions, and evaluation plans. •
  • Innovate and maintain product quality through prototyping and rapidly iterating
  • solutions for viability, scalability, and data integrity. • Lead, mentor, and
  • develop technical talent, ensuring equitable opportunities and a culture of
  • inclusion and respect. • Uphold and advance code quality standards while
  • managing data integrity risks through efficient QA strategies and engineering
  • best practices. • Evaluate and champion emerging technologies, frameworks, and
  • tooling to enhance developer experience and product capabilities. • Resolve
  • complex and urgent application issues, taking ownership of the product’s
  • technical health in and outside of business hours. • Lead discussions with
  • technical and non-technical stakeholders, serving as a key technical liaison
  • between project stakeholders and the engineering team. • Drive the culture and
  • technical excellence of the team, contributing to talent acquisition and
  • training programs. • Ensure solutions adhere to SDLC and DevOps best practices,
  • maintaining high standards of quality and security across all phases of
  • development. • Establish and champion AI-assisted development practices within
  • your product area, setting guidelines that balance velocity with code quality,
  • security, and maintainability.

Requirements

  • • 8+ years of relevant data and
  • software engineering experience • Deep expertise with ETL/ELT tooling, data
  • pipeline architecture, and large-scale data processing • Deep expertise in SQL,
  • Python, and modern data engineering frameworks • Strong experience with
  • cloud-based platforms and data services (e.g., GCP, AWS, BigQuery, Databricks) •
  • Deep experience working with business users and clients to understand goals and
  • gather requirements Preferred: • Experience working within a scaled Agile
  • framework (e.g., SAFe) at an enterprise level. • Experience with, or a strong
  • demonstrable interest in, agentic AI technologies and their practical
  • applications. • Experience with data-intensive applications containing AI,
  • machine learning, or statistical tooling • Deep expertise with APIs for
  • large-scale data retrieval, integration, and platform interoperability •
  • Experience implementing QA processes and QA automation • Experience in the
  • digital marketing and measurement space • Experience with data governance,
  • quality frameworks, and data integrity management • Experience building and
  • deploying containerized, cloud-native data applications Pay Transparency At
  • Ovative, we offer a transparent view into three core components of your total
  • compensation package: Base Salary, Annual Bonus, and Benefits. The salary range
  • for this position below is inclusive of an annual bonus. Actual offers are made
  • with consideration for relevant experience and anticipated impact. Additional
  • benefits information is provided below. For our Lead Engineer positions, our
  • compensation ranges from $125,000 to $175,000, which is inclusive of a 25%
  • bonus.

Benefits

of Working at Ovative Group: We provide strong, competitive,

holistic benefits that understand the importance of your life inside and out of

work. Culture: Culture matters and we’ve been recognized as a Top Workplace

for ten years running because of it. We demand trust and transparency from each

other. We believe in doing the hard and complicated work others put off. We’re

open in communication and floor plan. We’re flat – our interns sit next to VPs,

our analysts work closely with senior leaders, and our CEO interacts with every

single person daily. Put together, these elements help foster an environment

where smart people can support each other in performing to their highest

potential. Ovative is committed to fostering an inclusive environment where

everyone can participate and thrive. We do not tolerate discrimination of any

kind, including on the basis of race, sexual orientation, gender identity, or

gender expression. Our policies reflect this commitment—for example, our medical

leave benefits are inclusive of same-sex partners, ensuring equitable care and

support for all families.

Compensation

and Insurance: We strive to hire and

retain the best talent. Paying fair, competitive compensation, with a large

bonus incentive, and phenomenal health insurance is an important part of this

mix. We’re rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy: Access to all office spaces in MSP, NYC, and

CHI Frequent, paid travel to our Minneapolis headquarters for company events,

team events, and in-person collaboration with teams Generous paid vacation

policy 401k match program Top-notch health insurance options, inclusive of

same sex partners Family formation benefits including reimbursement options for

fertility, pregnancy, and parenting needs Monthly stipend for your mobile phone

and data plan Sabbatical program Charitable giving via our time and a

financial match program Shenanigan’s Day Working at Ovative won’t be easy,

but if you like getting your hands dirty, driving results, and being surrounded

by the best talent, it’ll be the most rewarding job you’ll ever have. If you

think you can make us better, we want to hear from you! Ovative Group is an

independent, full-funnel media, measurement, and creative firm. Leveraging our

deep industry expertise, we help brands like Best Buy, Domino's, American Eagle,

The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth

Group transform their media and measurement programs. The result? Profitable

growth that speaks for itself. At Ovative, we don't just track data, we redefine

success. How do we do it? Our proprietary MarTech platform, EMRge helps

businesses transform marketing into a driver of sustainable growth. Powered by

Enterprise Marketing Return (EMR), our differentiated approach to holistic media

buying, planning, and measurement, EMRge is the first MarTech platform to

measure businesses holistically. We're all about raising the bar every day, and

it shows. Our work has been recognized by organizations like Digiday, Google,

Inc. 5000, USA Today, and Search Engine Land.

Which skills does this role require?

PythonSQLData EngineeringAI AnalyticsRAG SystemsDocument IngestionVector DatabasesSemantic ModelingSystem IntegrationCloud PlatformsDatabricksCommunicationProduct ManagementMentoringAnalyticsSearch PlatformsRAGEnterprise SystemsAuthenticationAuthorizationBusiness IntelligenceMarTechEMRgeMedia BuyingInsightsRecommendationsData PlatformsCollaboration ToolsComplianceTechnical StandardsAWSGCPBigQueryPrototyping

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