Data Integration & Quality Manager

About Resident Interface

Resident Interface is the industry leader in delinquency management for the rental housing market. Through our brands Possession Partner (Evictions), Resident Advocate (Pre-Collections), and Hunter Warfield (Collections) we deliver a unified platform that helps property owners and managers recover revenue, stay compliant, and protect their communities.

With over 40 years of experience, $billions recovered nationwide, and operations across all 50 states, Resident Interface combines technology, transparency, and expertise to transform the way property owners manage delinquencies from the first missed payment to final resolution.

Learn more at www.residentinterface.com

About the role

• Resident Interface is building a modern data foundation to power delinquency management, customer analytics, automation, and financial operations. As the Data Integration & Quality Manager, you will be responsible for ensuring that the data entering our platform is complete, accurate, timely, and reliable. You will oversee data ingestion pipelines, third-party integrations, and data quality processes, partnering closely with Data Engineering, Analytics, Product, and Customer teams. Your work ensures the entire platform—collections, legal filings, automation, customer reporting, KPIs, and the Unified App—runs on trustworthy and consistent data. This role is ideal for someone who excels at data integrity, systems integration, and operational reliability, and who wants to shape the core data infrastructure of a fast-scaling platform.

What you'll do

Integration Ownership

• Oversee and manage integrations with property management systems (Yardi, Entrata, RealPage, MRI, AppFolio) and other third-party data providers.
• Evaluate APIs, exports, and partner data formats to design and maintain scalable ingestion workflows.
• Serve as the point of contact for integration issues, data discrepancies, and partner-side technical changes.

Data Ingestion & Pipeline Management

• Define requirements for ingestion architecture, including schemas, field mapping, validation logic, reconciliation workflows, and refresh cycles.
• Partner with Data Engineering to build, monitor, and optimize pipelines that ingest operational, financial, and customer data.
• Ensure ingestion processes are reliable, observable, and able to scale as customer volume increases.

Data Quality & Validation

• Own the frameworks for ensuring data fidelity across all inbound and outbound pipelines.
• Develop rules and automated checks for data completeness, accuracy, consistency, referential integrity, and timeliness.
• Lead reconciliation processes for missing, stale, or mismatched customer data.

Operational Discovery & Standards

• Work with Customer Success, Onboarding, and Product teams to understand customer data flows and integration requirements.
• Establish standards for field definitions, source-of-truth logic, schema governance, and change management.
• Define repeatable processes for onboarding new integrations and maintaining existing ones.

Monitoring, Observability & Issue Resolution

• Collaborate with Data Engineering to build monitoring dashboards, alerts, and quality checks.
• Diagnose pipeline failures, data anomalies, and integration issues through logs, payloads, and system traces.
• Drive root-cause analysis and ensure long-term fixes are implemented.

Cross-Functional Collaboration

• Produce clear documentation: data dictionaries, mapping documents, integration specifications, and validation rules.
• Work with Analytics to understand how ingestion quality impacts downstream reporting and KPIs.
• Liaise with Product and Engineering when integrations need platform-level enhancements or new capabilities.

Governance, Compliance & Security

• Ensure integrations adhere to data privacy, retention, and governance standards.
• Maintain auditability of data changes, transformation steps, and pipeline modifications.
• Collaborate with Security and Compliance teams to ensure safe, compliant data handling.

Qualifications

Required

• 3–7 years of experience in data integration, data pipeline management, data engineering support, or a similar role.
• Strong working knowledge of APIs, ETL/ELT processes, data structures, and system-to-system integrations.
• Hands-on experience with data mapping, schema design, field-level validation, and reconciliation.
• Skilled in diagnosing data issues using logs, payloads, SQL, or monitoring tools.
• Excellent documentation and communication skills, including writing integration specs and data requirements.
• Strong analytical and problem-solving skills in data-intensive environments.

Preferred

• Experience integrating with PMS systems (Yardi, RealPage, Entrata, MRI, AppFolio) or PropTech ecosystem data flows.
• Familiarity with data observability tools or pipeline frameworks (dbt, Airflow, Fivetran, custom pipelines).
• Exposure to data governance, metadata management, or data quality monitoring systems.
• Understanding of authentication methods (OAuth, API keys, IP allowlists, service accounts).
• Experience in high-volume, operational data environments (fintech, collections, real estate tech, or similar).

Nice to Have

• Background in property management, PropTech, or the rental real estate market—helpful but not required.

Mindset

• Data-obsessed: you take pride in accuracy and integrity.
• Systems thinker who views data flows end-to-end.
• Proactive and curious, uncovering upstream issues before they cascade downstream.
• Collaborative, working across Data, Engineering, Product, and Customer teams.
• Structured and detail-oriented, with a strong sense of accountability.
• Calm under pressure, especially when diagnosing critical data issues.

Success in This Role Looks Like

• Data pipelines operate reliably and predictably across all customer and partner integrations.
• Data quality issues decrease significantly through improved validation, monitoring, and reconciliation.
• PMS integrations become standardized, scalable, and easier for onboarding teams to manage.
• Resident Interface’s analytics, automation, and customer experiences confidently rely on accurate, timely, high-quality data.
• You become the go-to owner for how data enters, flows through, and is governed within the platform.