Principal Data Architect
This is a remote position in the U.S.Full-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 10+ years of progressive experience, 5+ years in a senior or principal-level data architecture capacity
- Required Skills
- PythonSQLKafkaSnowflakeAirflowdbt
Requirements
- 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.
- Bachelor's degree in Computer Science, Data Engineering, or a related field.
- 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.
Responsibilities
- 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.
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