Data Architect

About NEXGEN Asset Management:

NEXGEN Asset Management is a leading Enterprise Asset Management (EAM) platform that combines a powerful Computerized Maintenance Management System (CMMS) with advanced asset planning tools. With over 25 years of expertise our web-based software empowers organizations to optimize operations and make data-driven decisions.

Position Overview:
Were seeking an experienced Data Architect to design and oversee the structure governance and scalability of NEXGENs data this role youll develop best practices for data storage lineage and documentation to ensure accuracy security and performance across all data assets.

Youll collaborate closely with the data and product teams to make architectural decisions about how and where data is stored ensuring consistent standards and long-term scalability. If youre passionate about data governance architecture design and enabling reliable analytics infrastructure this position offers the opportunity to shape the foundation of NEXGENs data strategy.

Youll report to the AI Product Manager and play a pivotal role in advancing NEXGENs enterprise data capabilities.

Responsibilities:

• Architecture Design: Define and maintain data structures ensuring scalability governance and consistency across systems.
• Documentation: Document the data warehouse in data dictionaries and technical knowledge bases for internal and client use.
• Data Strategy: Make architectural decisions about data storage locations formats and long-term strategies.
• Governance: Establish policies to ensure data accuracy structure consistency and compliance with privacy and security standards.
• Retention & Archival: Set data retention and archival policies including how long to retain data and when to purge.
• Lineage Tracking: Establish and maintain data lineage to ensure transparency across data flows.
• Access Control: Define data access roles and permissions to safeguard sensitive information.
• UDF Management: Determine best practices for storing and managing user-defined fields (UDFs) in the data warehouse.
• Historical Accuracy: Ensure historical data is preserved traceable and accurately maintained.

What Were Looking For:

• Education: Masters degree (will consider Bachelors degree) in Information Systems Data Engineering or a related technical field.
• Experience: Proven experience in data architecture schema design and database modeling for enterprise-scale environments.
• Data Skills: Expertise in data governance lineage tracking and best practices for retention archival and security.
• Technical Skills: Proficiency in Database Modeling Schema Design SQL NoSQL Data Security and familiarity with Big Data technologies and cloud platforms.
• Soft Skills: Strong analytical thinking attention to detail effective collaboration and excellent communication skills for both technical and non-technical audiences.

Location:

Sacramento CA (in-office 4 days per week 1 remote day per week)

Compensation:

$120000 - $125000 depending on related education and experience