What You'll Do:

• Define ecosystem integration priorities: evaluate which source systems deliver the most customer value, and align the integration roadmap with product strategy and partnership goals.
• Evaluate source systems - subledgers and billing platforms, banks and treasury systems, payroll providers, T&E platforms, and others - understanding their data schemas, connectivity patterns, and relevance to FloQast accounting workflows.
• Drive the technical definition of integrations: connectivity approach (sFTP, API, data sharing), source data structure, mapping requirements, and how data flows into FloQast's canonical data models via the Data Platform.
• Map source data into FloQast's canonical schemas using FloQast’s Data Studio, ensuring data is accurately normalized and ready for use across FloQast applications.
• Build source system playbooks and workflow guidance so customers and implementation teams extract value from integrations faster.
• Align with Product and Alliances teams on ecosystem priorities, partnership opportunities, and integration roadmap sequencing.
• Support GTM teams with the story of FloQast-ecosystem value: what each integration unlocks, what customer problems it solves, and how it extends the platform.
• Collaborate with Engineering, Data Migration Engineers, Implementation, Customer Success, and Support to turn integration designs into working, production-grade data flows.
• Provide N-tier support for customers during onboarding and ongoing operations, troubleshooting integration, mapping, and data issues.
• Scale integration patterns and documentation so new source systems can be onboarded faster and more consistently over time.

What You'll Bring:

• 3+ years of experience in data integration, technical implementation, solutions consulting, analytics engineering, data migration, or a similar hands-on technical role.
• Working proficiency in SQL, Python, and scripting, with direct experience building or working with data pipelines, APIs, or ETL workflows.
• Advanced Excel skills and comfort working with large structured and semi-structured files - CSV, TSV, and Excel-based data exports.
• Experience analyzing source system schemas, understanding data relationships, and designing mappings for downstream consumption.
• Strong cross-functional communication skills and the ability to work effectively across customers, partners, Engineering, Product, Implementation, and Customer Success.
• Comfort operating in ambiguity and moving quickly without close oversight.
• A practical, ownership-oriented mindset with a bias toward getting working integrations into production.

Nice To Have:

• Familiarity with ecosystem source systems relevant to accounting workflows: subledgers and billing platforms, banks and treasury systems, payroll providers, or T&E platforms.
• Working knowledge of accounting and financial data - enough to recognize when balances, hierarchies, or data relationships do not make business sense.
• Experience in a model-driven or metadata-driven data platform where source data is mapped, normalized, and published into reusable application-ready models.
• Product management experience, or experience working closely with product teams to translate technical integration knowledge into requirements and roadmap decisions.