Senior Data Architect

NuAxis Innovations; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

NuAxis Innovations is seeking a Senior Data Architect to design and manage enterprise data architecture, models, governance, and integration patterns for analytics and applications. This full-time role requires leadership across data domains and cross-system patterns.

You will define standards, patterns, and security controls while mentoring engineering and BI teams to ensure accurate, accessible data across the organization. The role emphasizes governance and cost-aware cloud solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 8+ years of data architecture experience at enterprise scale.
• Cloud data or architecture certification (AWS Data Analytics - Specialty, Azure Data Engineer Associate, or SnowPro Advanced: Architect).
• TOGAF 9/10 Certified within 180 days of assignment.
• Preferred: DAMA CDMP; Collibra Ranger; Databricks Certified Data Engineer Professional.
• Proficient in data modeling, ETL/ELT design, cloud data platforms, governance, metadata, lineage, and security patterns.

Responsibilities

• Define enterprise data architecture, conceptual, logical, and physical models and data domain standards.
• Design ETL and ELT integration patterns across 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

Metadata & lineage

Integration architecture

Data security & privacy

Education

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

Tools

Snowflake

Redshift

Azure Synapse

Databricks

dbt

Informatica/Talend/AWS Glue

SQL

Python

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

We are an IT company with a unique mission—to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed.Time after time, programs failed because the focus was on the tools and products and not the people using them.

Learn More .

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