Responsibilities
- Embody Lifeway's mission and values with a strong commitment to Kingdom work
- Develop and maintain the enterprise data architecture roadmap, ensuring alignment with long-term business goals and technology objectives
- Oversee the design and evolution of data platforms, including data warehouse and lake-house architectures
- Promote and implement a Data Mesh strategy that supports domain-oriented data ownership, self-service data infrastructure, and federated governance
- Design and manage enterprise data integration patterns, including batch ETL, real-time streaming, and event-driven architectures
- Set standards for data pipelines, transformation logic, lineage tracking, and integration frameworks across on-premises and cloud environments
- Lead initiatives to prepare organizational data for AI and machine learning applications
- Drive the adoption of data contracts and data product thinking to enhance data reliability and trust
- Lead the design of Master Data Management integrations and provide technical leadership for MDM initiatives
- Serve as a strategic advisor for 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
- Travel occasionally, 2-4 times per year, typically overnight
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or a related field
- 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 such as Kafka, dbt, Airflow, or equivalents
- Experience with cloud data platforms like 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
Nice to Have
- 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
Benefits
- Healthcare
- Vacation and sick time
- Holiday pay
- Care days
- 401(k) plan
- Maternity and paternity leave
- Adoption assistance
- Mission trip time
- Equipment and resources for a productive and ergonomic workspace
- All-team meetings several times per year
- Travel for key team gatherings for remote-based team members
Work Arrangement
Remote position in the U.S. with occasional travel to Nashville for in-person team gatherings
Other
- Remote position in the U.S. with occasional travel to Nashville for in-person team gatherings
- Limited travel: 2-4 times per year, typically overnight
- Full-time employees eligible for comprehensive benefits
- Work from Anywhere (WFA) culture with autonomy and flexibility with work hours
