Data Solutions Engineer

Klickly is a fast-growing company using proprietary data and AI to transform eCommerce. The Data Solutions Engineer bridges customers, commercial teams, and Data, Product, and Engineering organizations by translating business objectives into data solutions, scoping feeds and evaluations, validating results with SQL, and troubleshooting performance and quality issues.

Responsibilities:

• 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

Requirements:

• 3+ 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 role
• Strong SQL skills and the ability to independently investigate, profile, and validate complex datasets
• Strong understanding of data concepts such as joins, identifiers, matching, filtering, schemas, field completeness, population coverage, and data quality
• Demonstrated ability to investigate why actual data results differ from expected outcomes and identify practical ways to improve performance
• Experience working with data products, customer-facing datasets, recurring data feeds, analytics platforms, or other complex data environments
• Ability to translate customer business objectives into clear specifications, requirements, and measurable success criteria
• Strong judgment and the ability to balance customer requests with technical feasibility, data capabilities, and product considerations
• Working knowledge of common data delivery methods and formats such as S3/GCS, SFTP, APIs, CSV, and JSON
• Excellent 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 audiences
• Strong customer instincts and the ability to build credibility with both technical and executive stakeholders
• A methodical and curious approach to troubleshooting and analytical problem-solving
• Ability to manage multiple projects and priorities in a fast-moving remote environment
• A proactive, collaborative, and highly organized working style with strong attention to detail
• Experience with data products, analytics, data partnerships, advertising technology, identity systems, or other data-intensive businesses
• Familiarity with data warehouses, ETL/ELT processes, batch data pipelines, or analytics platforms
• Familiarity with Python or another scripting language for data analysis or lightweight automation
• Experience supporting enterprise customers
• Experience working with privacy-sensitive data, data governance, identity, analytics, or distributed commerce