Solutions Engineer, Data & Platforms

Responsibilities

• Ensure client‑facing platform solutions, audience outputs, reporting workflows, and underlying data processes are accurate, scalable, and operationally sound
• Serve as a key bridge between Client Services, Product, Reporting, Data Engineering, and platform operations to ensure platform capabilities are effectively applied to meet client business needs
• Oversee the validation and alignment of platform audiences, transaction data, reporting outputs, and campaign performance metrics across systems
• Investigate data discrepancies, identify operational risks, establish automated QA and monitoring processes, and help drive scalable workflows that improve confidence in client‑facing outputs
• Own and oversee client‑specific platform execution requirements to ensure platform capabilities are configured, monitored, and leveraged appropriately for business goals
• Partner with Client Services, Product, and Sales teams to translate client needs into scalable platform workflows and operational processes
• Support audience strategy execution through validation of audience logic, analysis & development of segmentation strategies, and data enrichment methodologies
• Apply data engineering concepts and analysis to help operationalize new datasets, overlays, enrichment strategies, and targeting enhancements within platform workflows
• Validate and reconcile audience counts, transaction counts, reporting outputs, and platform‑generated metrics against campaign reporting, matchback reporting, ROI analysis, and transaction‑derived performance metrics
• Build and maintain scalable QA, monitoring, and anomaly detection processes
• Leverage coding languages and AI‑based productivity tools to accelerate data validation and automate checks for missing files, ingestion failures, or logic mismatches
• Create repeatable documentation, workflows, and escalation paths to improve consistency and reduce operational risk
• Partner with Product and Engineering teams to communicate platform gaps, workflow inefficiencies, and enhancement opportunities uncovered through client usage
• Communicate complex data, code, and platform issues clearly to both technical and non‑technical stakeholders

• 4+ years of experience in Client Services, Marketing Operations, Data Operations, Platform Operations, Solutions Management, Analytics, or related fields
• Bachelor’s degree in computer science, Engineering, Information Systems, or a bachelor’s degree in business, or business‑related field, with demonstrated technical experience
• An MBA or technical graduate degree is a plus
• Strong Technical Aptitude:
  Hands‑on experience with data engineering and analysis principles, including proficiency in coding languages such as SQL and Python for data manipulation and validation
• AI Tool Fluency:
  Experience and working knowledge of AI‑based development and productivity tools (e.g., Cursor, Claude Code, Git Hub Copilot) to build efficiencies in coding, data analysis, and workflow automation
• Experience working with client‑facing data platforms, marketing technology platforms, CDPs, audience platforms, or reporting environments
• Experience working with identity resolution, audience targeting, enrichment data, matchback reporting, attribution, or campaign analytics
• Experience in marketing technology, advertising technology, customer data platforms, or data‑driven media environments
• Experience building operational processes, data pipelines, or scalable QA workflows in a fast‑growing organization
• Strong analytical skills with the ability to investigate complex data issues across multiple systems and data sources
• Strong organizational skills to manage multiple priorities in an ambiguous environment, paired with excellent client‑friendly communication.