Senior Data Architect

NuAxis, LLC; United States; On-site; USD 130,000 - 190,000; Full time

Job summary

NuAxis is seeking a Senior Data Architect for a full-time role in the United States. The candidate will design and manage enterprise data architecture, governance, and integration patterns to ensure data is accurate, secure, and analytics-ready.

The position leads cross-team data design and mentoring of data practitioners. Required eight+ years in data architecture, a related bachelor’s degree, and cloud data/architecture certifications.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Eight (8)+ years of data architecture experience; Lead-equivalent authority.
• Cloud data or architecture certification (e.g., AWS Certified Data Analytics - Specialty, Microsoft Certified Azure Data Engineer Associate, or SnowPro Advanced: Architect).
• TOGAF 9/10 Certified, within 180 days of assignment.
• DAMA CDMP; Collibra Ranger; Databricks Certified Data Engineer Professional (preferred).
• 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: Snowflake and modern lakehouse architectures; data mesh and data product approaches; analytics enablement; federal data environments.

Responsibilities

• Designs and manages enterprise data architecture, models, governance, and integration patterns.
• 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.

Skills

Data modeling

ETL/ELT design

Cloud data platforms

Data governance frameworks

Metadata and lineage

Integration architecture

Data security & privacy patterns

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Eight (8)+ years of data architecture experience

AWS Certified Data Analytics - Specialty

Microsoft Certified Azure Data Engineer Associate

SnowPro Advanced: Architect

Tools

TOGAF 9/10 Certification

DAMACM/CDMP (preferred)

Job description

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution.

Technology is our Passion. People are our Purpose.

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.

Job Summary:

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.

Minimum Qualifications

• 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

Our Profile:

NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!