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Data Integration & Quality Manager

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Resident Interface
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.

  • 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, Real Page, MRI, App Folio) 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.
  • 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,…
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