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Data Architect

Job in Mission, Johnson County, Kansas, 66201, USA
Listing for: Kaizen Lab Inc.
Full Time position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Job Title:
Data Architect

Location: On-site
Reports To: VP Operations

Employment Type: Full-time

Position Summary

The Data Architect will design, build, and maintain Pre Born’s data architecture to ensure reliable, secure, and scalable data systems that support fundraising, program impact reporting, operations, and leadership decision-making. The role will also steward the ministry’s data ecosystem by helping manage relationships with external vendors and partners. This role bridges technical execution with organizational strategy, ensuring data is accessible, trustworthy, and aligned with Pre Born’s mission.

Key Responsibilities Data Architecture & Strategy
  • Design and maintain enterprise data architecture, including data models, schemas, and integration patterns
  • Develop and document data standards, governance practices, and best practices
  • Align data architecture with organizational goals, reporting needs, and growth plans
  • Develop an annualized data roadmap aligned to ministry priorities
Hands on Data Integration & Systems
  • Architect and manage integrations between CRM systems (e.g., donor management), financial systems, program databases, and third-party platforms
  • Oversee ETL/ELT pipelines to ensure data accuracy, consistency, and availability
  • Support migration and modernization of legacy data systems when needed
Analytics & Reporting Enablement
  • Partner with leadership, fundraising, program, and operations teams to understand reporting and analytics needs
  • Enable dashboards and analytics tools by ensuring clean, well-structured data
  • Support impact measurement, donor reporting, and compliance requirements
  • Enable self-service analytics where appropriate
Data Security & Compliance
  • Ensure data security, privacy, and access controls in accordance with best practices and applicable regulations
  • Implement data quality monitoring and validation processes
  • Support disaster recovery and business continuity planning for data systems
  • Document system changes, decisions, and issues
  • Act as the primary escalation point for data issues
Collaboration & Leadership
  • Collaborate with developers, analysts, and external vendors
  • Provide technical guidance and mentorship related to data architecture
  • Translate complex technical concepts into clear explanations for non-technical stakeholders
  • Translate organizational data needs into clear technical requirements for vendors and external partners
  • Ensure vendor solutions integrate cleanly into the broader data architecture and do not create unnecessary technical debt
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience)
  • 5+ years of experience in data architecture, data engineering, or related roles
  • Strong experience with relational databases and data modeling
  • Experience integrating CRMs, financial systems, and cloud-based platforms
  • Familiarity with data warehousing, ETL tools, and analytics platforms
  • Experience collaborating with external vendors and consulting partners
  • Strong documentation and communication skills
Preferred Qualifications
  • Experience working in a nonprofit or mission-driven organization
  • Experience with cloud data platforms (e.g., Azure, AWS, or Google Cloud)
  • Knowledge of donor management or fundraising systems
  • Familiarity with BI tools (e.g., Power BI, Tableau, Looker)
  • Understanding of data governance and master data management
  • Experience supporting executive dashboards and KPI frameworks
Core Competencies
  • Mission alignment and servant leadership mindset
  • Analytical thinking and problem-solving
  • Attention to detail and data integrity
  • Collaboration across technical and non-technical teams
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