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.