Data Solutions Engineer

Data Solutions EngineerRemote (US)Klickly is a fast-growing, award-winning startup that is revolutionizing eCommerce. Based in the heart of Silicon Beach in Santa Monica CA, Klickly’s proprietary data and AI transform how innovative brands grow their customers. . Named by USA Today as a \"BEST 25 COMPANIES IN LA,\" Klickly is a company that truly cares about supporting team members to reach new heights. Here you will achieve the extraordinary. Join us!Position: Data Solutions EngineerSummary / ObjectiveKlickly is seeking a Data Solutions Engineer to serve as the bridge between our customers, commercial teams, and Data, Product, and Engineering organizations. You will work directly with prospective and existing enterprise customers to translate their business objectives into effective data insight solutions.A core part of this role is understanding how Klickly's proprietary data works and using that knowledge to design solutions that balance brand requirements, data availability, quality, feasibility, and expected performance. You will help scope custom data feeds and evaluations, establish appropriate expectations with customers, partner with internal teams to ensure feeds are built to the agreed objectives, and use SQL and data analysis to validate results and diagnose performance gaps.This role is ideal for someone who combines strong data intuition and analytical problem-solving with excellent communication and sound business judgment. You should be comfortable working hands-on with data, explaining tradeoffs to customers, and collaborating with technical teams to improve outcomes, without needing to be the engineer who builds the underlying data pipelines.What You’ll Do: Partner with commercial teams to lead data and technical discovery with prospective and existing brandsTranslate customers' marketing objectives into clear data requirements, including fields, populations, identifiers, selection criteria, expected coverage, delivery specifications, and success criteriaDevelop a deep understanding of Klickly's proprietary data asset and how different fields, populations, identifiers, filters, and selection criteria affect coverage, matching, and overall feed performanceEvaluate customer requests against Klickly's available data capabilities and recommend solutions that balance customer objectives, data quality, feasibility, and product guidelinesScope custom data feeds and technical evaluations, including field selection, schema, delivery method, cadence, filtering, transformations, and validation criteriaSet appropriate expectations with customers around data availability, coverage, matching performance, limitations, and tradeoffs before evaluations and production engagements beginCoordinate custom data samples and trials, working with internal Data and Engineering teams to ensure outputs accurately reflect agreed customer requirementsUse SQL and data analysis to profile and validate samples and production feeds, including field completeness, population characteristics, coverage, matching performance, and data qualityInvestigate cases where a data feed or evaluation is not achieving expected results, identify the drivers of performance gaps, and work with Data and Engineering teams to improve outcomes where possibleReview internally generated feeds to ensure they meet agreed specifications and customer objectives before and after deliveryClearly communicate data findings, performance, limitations, and recommended approaches to audiences ranging from engineers and data teams to marketers and business executivesGuide customers through data evaluation, testing, launch, and post-launch validationTroubleshoot data delivery, mapping, schema, and data quality issues and coordinate resolution with internal teams when neededMonitor production data feeds for delivery health, data quality, and adherence to agreed specifications and performance expectationsCreate and maintain data specifications, implementation documentation, troubleshooting resources, and internal enablement materialsWork with Data, Product, and Engineering teams to communicate customer requirements, identify recurring data challenges, and recommend improvements to Klickly's data capabilities and processesBuild strong, trusted relationships with brandsManage multiple customer evaluations and production data engagements simultaneously while maintaining clear communication, documentation, and follow-throughWhat We’re Looking For3+ years of experience in data solutions engineering, solutions consulting, analytics, data analysis, analytics engineering, technical consulting, technical account management, solutions engineering, or another relevant customer-facing data roleStrong SQL skills and the ability to independently investigate, profile, and validate complex datasetsStrong understanding of data concepts such as joins, identifiers, matching, filtering, schemas, field completeness, population coverage, and data qualityDemonstrated ability to investigate why actual data results differ from expected outcomes and identify practical ways to improve performanceExperience working with data products, customer-facing datasets, recurring data feeds, analytics platforms, or other complex data environmentsAbility to translate customer business objectives into clear specifications, requirements, and measurable success criteriaStrong judgment and the ability to balance customer requests with technical feasibility, data capabilities, and product considerationsWorking knowledge of common data delivery methods and formats such as S3/GCS, SFTP, APIs, CSV, and JSONExcellent written and verbal English communication skills, including the ability to lead conversations with US-based customer stakeholders and explain complex data concepts to non-technical audiencesStrong customer instincts and the ability to build credibility with both technical and executive stakeholdersA methodical and curious approach to troubleshooting and analytical problem-solvingAbility to manage multiple projects and priorities in a fast-moving remote environmentA proactive, collaborative, and highly organized working style with strong attention to detailPreferred Qualifications: Experience with data products, analytics, data partnerships, advertising technology, identity systems, or other data-intensive businessesFamiliarity with data warehouses, ETL/ELT processes, batch data pipelines, or analytics platformsFamiliarity with Python or another scripting language for data analysis or lightweight automationExperience supporting enterprise customersExperience working with privacy-sensitive data, data governance, identity, analytics, or distributed commerceOther details:Competitive compensation commensurate with experiencePotential for equity in the companyRemote workAccess to Klickly’s company-wide healthcare programUnlimited PTO and company holidaysThe opportunity to work with skilled, collaborative, and thoughtful teammatesDynamic and challenging work at the intersection of AI, data, and commerceKlickly believes that diversity of ideas and perspectives means better innovation, engagement, and problem-solving. Therefore, Klickly is committed to working with the best and brightest people from as broad a talent pool as possible. We encourage qualified individuals from all walks of life to apply.By submitting your application, you consent to Klickly’s Privacy Policy and Privacy Notice for California Residents. More detail regarding the personal information we collect, how we use that information, how we share that information, and your rights and choices can be found here.