Data Solutions Engineer

Data Solutions Engineer

Remote (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 Engineer

Summary / Objective

Klickly 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 brands
• Translate customers' marketing objectives into clear data requirements, including fields, populations, identifiers, selection criteria, expected coverage, delivery specifications, and success criteria
• Develop 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 performance
• Evaluate customer requests against Klickly's available data capabilities and recommend solutions that balance customer objectives, data quality, feasibility, and product guidelines
• Scope custom data feeds and technical evaluations, including field selection, schema, delivery method, cadence, filtering, transformations, and validation criteria
• Set appropriate expectations with customers around data availability, coverage, matching performance, limitations, and tradeoffs before evaluations and production engagements begin
• Coordinate custom data samples and trials, working with internal Data and Engineering teams to ensure outputs accurately reflect agreed customer requirements
• Use SQL and data analysis to profile and validate samples and production feeds, including field completeness, population characteristics, coverage, matching performance, and data quality
• Investigate 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 possible
• Review internally generated feeds to ensure they meet agreed specifications and customer objectives before and after delivery
• Clearly communicate data findings, performance, limitations, and recommended approaches to audiences ranging from engineers and data teams to marketers and business executives
• Guide customers through data evaluation, testing, launch, and post-launch validation
• Troubleshoot data delivery, mapping, schema, and data quality issues and coordinate resolution with internal teams when needed
• Monitor production data feeds for delivery health, data quality, and adherence to agreed specifications and performance expectations
• Create and maintain data specifications, implementation documentation, troubleshooting resources, and internal enablement materials
• Work with Data, Product, and Engineering teams to communicate customer requirements, identify recurring data challenges, and recommend improvements to Klickly's data capabilities and processes
• Build strong, trusted relationships with brands
• Manage multiple customer evaluations and production data engagements simultaneously while maintaining clear communication, documentation, and follow-through

What We’re Looking For

• 3+ years of experience in data solutions engineering, solutions consulting, analytics, data analysis, analytics engineering, technical consulting, technical