Job description

Diaconia is seeking an Information/Data Architect to support a client modernization program. This position supports enterprise information and data architecture initiatives by developing and maintaining data models, metadata, taxonomies, data standards, and data exchange documentation that improve data quality, interoperability, and governance across mission systems. The ideal candidate has experience with data architecture, data management, and integration activities and enjoys collaborating with both technical and business stakeholders to support enterprise modernization efforts. Key Responsibilities • Develop and maintain conceptual and logical data models supporting enterprise information architecture. • Create and maintain data dictionaries, metadata schemas, taxonomies, data asset catalogs, and data mappings. • Develop and maintain Interface Exchange Package Documentation (IEPDs) and other data exchange artifacts. • Document ETL processes, data feeds, API interfaces, XML-based exchanges, and integration requirements. • Analyze data quality issues and recommend improvements to data consistency, accuracy, and usability. • Support enterprise data governance initiatives by maintaining metadata, business definitions, and data standards. • Collaborate with architects, engineers, developers, analysts, and business stakeholders to gather, validate, and document data requirements. • Support repository management and enterprise information architecture documentation. • Assist with data integration, analytics enablement, and enterprise reporting initiatives. • Prepare data management recommendations and support architecture modernization activities. • Ensure all information architecture products align with TSA standards, enterprise architecture guidance, and data governance policies. Disclaimer "The responsibilities and duties outlined in this job description are intended to describe the general nature and level of work performed by employees within this role. However, they are not exhaustive and may be subject to change or modification at any time to meet the evolving needs of the organization. Requirements Minimum Qualifications • Bachelor's degree in Data Management, Computer Science, Information Systems, Analytics, Engineering, or a related field. • Minimum three (3) years of professional experience in data architecture, data modeling, database administration, data management, data governance, ETL, metadata management, or related data management disciplines. • Experience developing or supporting conceptual and logical data models. • Experience creating or maintaining data dictionaries, metadata schemas, taxonomies, or data mappings. • Experience documenting data exchanges, interfaces, or ETL processes. • Strong understanding of relational databases and enterprise data management principles. • Experience working collaboratively with technical and business stakeholders. • Strong written and verbal communication skills. • Ability to obtain and maintain a DHS Public Trust clearance. Preferred Qualifications • Experience supporting Federal Government, DHS, or TSA information architecture initiatives. • Knowledge of the Federal Data Strategy and enterprise data governance principles. • Experience with metadata management, taxonomy development, and enterprise data catalogs. • Experience using SQL Server, SharePoint, Microsoft Access, Microsoft Power Platform, or similar technologies. • Experience with ETL processes, data cleansing, API integrations, XML, and data exchange standards. • Experience with architecture repositories such as Ins-Pi or YouDesign. • Familiarity with data mesh concepts and enterprise information architecture frameworks. Preferred Certifications One or more of the following certifications is preferred: • Certified Data Management Professional (CDMP) • DAMA training or certification • Database or SQL certification • Cloud Data certification • CompTIA Security+ • Agile/Scrum certification • Other relevant data governance or data modeling certifications

Requirements

Must-haves

The ideal candidate has experience with data architecture, data management, and integration activities and enjoys collaborating with both technical and business stakeholders to support enterprise modernization efforts.
Develop and maintain conceptual and logical data models supporting enterprise information architecture.
Create and maintain data dictionaries, metadata schemas, taxonomies, data asset catalogs, and data mappings.
Develop and maintain Interface Exchange Package Documentation (IEPDs) and other data exchange artifacts.
Document ETL processes, data feeds, API interfaces, XML-based exchanges, and integration requirements.
Analyze data quality issues and recommend improvements to data consistency, accuracy, and usability.
Support enterprise data governance initiatives by maintaining metadata, business definitions, and data standards.
Collaborate with architects, engineers, developers, analysts, and business stakeholders to gather, validate, and document data requirements.
Support repository management and enterprise information architecture documentation.
Assist with data integration, analytics enablement, and enterprise reporting initiatives.
Prepare data management recommendations and support architecture modernization activities.
Ensure all information architecture products align with TSA standards, enterprise architecture guidance, and data governance policies.

Nice-to-haves

Experience supporting Federal Government, DHS, or TSA information architecture initiatives.
Knowledge of the Federal Data Strategy and enterprise data governance principles.
Experience with metadata management, taxonomy development, and enterprise data catalogs.
Experience using SQL Server, SharePoint, Microsoft Access, Microsoft Power Platform, or similar technologies.
Experience with ETL processes, data cleansing, API integrations, XML, and data exchange standards.
Experience with architecture repositories such as Ins-Pi or YouDesign.
Familiarity with data mesh concepts and enterprise information architecture frameworks.
Preferred Certifications
One or more of the following certifications is preferred:
Certified Data Management Professional (CDMP)
DAMA training or certification
Database or SQL certification

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

apisqlagilescrum

Platform: paylocity
Effort: medium