Note: The job is a remote job and is open to candidates in USA. Stirista is a company focused on helping marketers generate revenue with their identity-level data. The Solutions Engineer, Data & Platforms is responsible for ensuring the accuracy and scalability of client-facing platform solutions and overseeing various data processes to meet client business needs.
Responsibilities
- Platform & Data Execution: Own and oversee client-specific platform execution requirements to ensure platform capabilities are configured, monitored, and leveraged appropriately for business goals
- Cross-Functional Collaboration: Partner with Client Services, Product, and Sales teams to translate client needs into scalable platform workflows and operational processes
- Audience & Data Strategy: Support audience strategy execution through validation of audience logic, analysis & development of segmentation strategies, and data enrichment methodologies
- Data Engineering & Operationalization: Apply data engineering concepts and analysis to help operationalize new datasets, overlays, enrichment strategies, and targeting enhancements within platform workflows
- Validation & Reconciliation: 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
- Modern QA & Automation: 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
- Process Documentation: Create repeatable documentation, workflows, and escalation paths to improve consistency and reduce operational risk
- Product Feedback Loop: Partner with Product and Engineering teams to communicate platform gaps, workflow inefficiencies, and enhancement opportunities uncovered through client usage
- Technical Communication: Communicate complex data, code, and platform issues clearly to both technical and non-technical stakeholders
- Performs other duties as assigned
Skills
- 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, GitHub 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
- Analytical Problem-Solving: Strong analytical skills with the ability to investigate complex data issues across multiple systems and data sources
- Organization & Client-facing Communication: Strong organizational skills to manage multiple priorities in an ambiguous environment, paired with excellent client-friendly communication
- 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
Benefits
- Free medical, dental, and vision plan
- 401(k) with a generous company match of up to 5%
- Flexible paid time off policy for vacation, illness, and personal needs
- 9 paid federal holidays
Company Overview