Senior Data Architect
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Role details
Tech stack
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Job description
Designs and manages enterprise data architecture, models, governance, and integration patterns so data is accurate, accessible, secure, and useful for analytics and applications. Key Responsibilities
· Define enterprise data architecture, conceptual, logical, and physical models, and data domain standards.
· Design ETL and ELT integration patterns across operational systems, data platforms, and analytics consumers.
· Establish data governance frameworks: stewardship, metadata, lineage, quality rules, and master data management.
· Architect cloud data platform solutions balancing performance, scalability, security, and cost.
· Define data security, classification, retention, and privacy control patterns.
· Review and approve data designs produced by engineering and BI teams; mentor data practitioners.
Requirements
· Minimum Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
· Minimum Experience: Eight (8) or more years of data architecture experience. This position carries a Lead-equivalent experience floor given its cross-platform design authority.
· Certifications - Required: Cloud data or architecture certification (e.g., AWS Certified Data Analytics - Specialty, Microsoft Certified Azure Data Engineer Associate, or SnowPro Advanced: Architect).
· Certifications - Obtainable After Hire: TOGAF 9/10 Certified, within 180 days of assignment.
· Certifications - Preferred: DAMA Certified Data Management Professional (CDMP); Collibra Ranger; Databricks Certified Data Engineer Professional.
· Required Skills: Data modeling; ETL and ELT design; cloud data platforms; data governance frameworks; metadata and lineage; integration architecture; data security and privacy patterns.
· Preferred Skills: Snowflake and modern lakehouse architectures; data mesh and data product approaches; analytics enablement; federal data environments. Technical Environment
erwin Data Modeler or ER/Studio; Snowflake, Amazon Redshift, Azure Synapse, and Databricks; dbt; Informatica, Talend, or AWS Glue; Apache Kafka and event streaming; Collibra or Alation for catalog and lineage; SQL and Python; Kimball, Inmon, and Data Vault 2.0 modeling patterns; Microsoft Purview; NIST and privacy control alignment
About the company
We know tech, but we love people. NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it’s a state of mind.
We believe happy employees do amazing work, so join our team NOW! We are currently seeking a Senior Data Architect for a Full-Time position., NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!
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