Principal Data Architect | Remote

Overview

Lifeway is seeking a Principal Data Architect to serve as a senior technical and strategic leader responsible for designing, governing, and evolving our enterprise data landscape. Working closely with our Business Intelligence and Master Data teams, you will set the architectural direction for data integration, warehousing, master data management, and AI-readiness across the organization. This is a remote role with significant cross-functional influence — ideal for a seasoned data architect who is energized by both technical depth and strategic leadership in a mission-driven environment.

Why Lifeway?

Lifeway is a place where you can bring your faith and work experience to join in the most important mission in the world: making disciples of Jesus Christ. Whether you’re a creator or storyteller, data guru or problem-solver, or anywhere in between, if you’re passionate about serving the church, we have a place for you. Lifeway has a strong Work from Anywhere (WFA) culture that is deeply focused on our mission and values. While headquartered in Nashville, TN, many of our positions are remote-eligible and have autonomy and flexibility with work hours. We provide equipment and resources to ensure team members have access to a productive and ergonomic workspace. We believe building relationships and community is essential to how we work together, so Lifeway hosts all-team meetings several times per year and provides travel for key team gatherings for remote-based team members. Full-time employees are eligible for enrollment in our comprehensive benefits plans including healthcare, vacation and sick time, holiday pay, care days, 401(k) plan, maternity and paternity leave, adoption assistance, mission trip time, and more. If this sounds like a place where you would be excited to serve the kingdom of God, we would love for you to join our team.

Learn more about our culture at team.lifeway.com/culture-code

This is a remote position in the U.S. with occasional travel to Nashville for in-person team gatherings. #LI-Remote

Responsibilities

Lives out Lifeway’s mission and values, showing deep commitment to Kingdom work

Define and maintain the enterprise data architecture roadmap, aligning data strategy with long-term business priorities and technology goals

Lead the design and evolution of data platforms including data warehouse and lake-house architecture

Develop and champion a Data Mesh strategy enabling domain-oriented data ownership, self-serve data infrastructure, and federated governance

Architect and oversee enterprise data integration patterns including batch ETL, real-time streaming, and event-driven architectures

Establish standards for data pipelines, transformation logic, lineage tracking, and integration frameworks across on-premises and cloud environments

Lead efforts to make the organization's data AI-ready to support machine learning and AI applications

Drive adoption of data contracts and data product thinking to improve reliability and trust in data assets

Lead the design of Master Data Management integrations and provide technical leadership across MDM initiatives

Act as a strategic advisor on data initiatives across business units, ensuring architectural soundness and alignment with enterprise standards

Provide technical mentorship and architectural guidance to data engineers, BI developers, and MDM Software Engineers

Limited travel: 2-4 times per year, typically overnight

Qualifications

Education

Bachelor's degree Computer Science, Data Engineering, or a related field, required

Masters degree in a related field, preferred

Advanced graduate degree (PhD, etc.), not required

Skills, Knowledge, & Experiences, required

10+ years of progressive experience in data engineering, software development, or data architecture roles

5+ years in a senior or principal-level data architecture capacity with ownership of enterprise-scale data programs

Deep expertise in data warehousing strategies (Inmon, Kimball, lake-house architecture)

Proven experience designing Data Mesh architecture including domain ownership models and data product definitions

Strong background in ETL/ELT design and data integration patterns including batch, micro-batch, and streaming

Hands-on experience with enterprise integration platforms (Kafka, dbt, Airflow or equivalents)

Experience with cloud data platforms such as Snowflake, Microsoft Fabric, or Google BigQuery

Proficiency in Python, SQL, Scala, or Java with experience in modern software delivery practices

Deep knowledge of Master Data Management principles, tooling, and implementation patterns

Ability to travel to the Middle Tennessee area 2-4 times annually for team gatherings

Actively involved in an evangelical Christian church

Skills, Knowledge, & Experiences, preferred

Master's degree in Computer Science, Data Engineering, or a related field

Familiarity with data cataloging, metadata management, and data observability tools

Experience with data governance frameworks and regulatory compliance requirements

Ability to build and present data architecture roadmaps tied to measurable business outcomes