Data Architect, Supervisor

Zeiders Enterprises, Inc.

. Develop and maintain the enterprise data architecture, including data sources, databases, data warehouses, data lakes, integrations, APIs, and reporting platforms .

Posted 10/16/2026full-timeWoodbridge • Virginia • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining enterprise data architecture, including data integration, governance, and quality management. Proficient in leading data technology projects and teams while ensuring compliance with government regulations and cybersecurity standards.

Highest-signal resume keywords

Data Architecture DevelopmentETL/ELT Process ImplementationData Governance PracticesCloud-Based Data TechnologiesTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingDatabase ManagementData Integration SolutionsRelational DatabasesPythonSQLData Quality ManagementData WarehousingData PipelinesData Governance

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsStakeholder Management

Tools & Technologies

Microsoft FabricAzure Data FactoryAzure SQLSQL ServerPower BIDatabricksKafkaFiveTranDbtAPIs

Industry Keywords

CUINIST SP 800-171CMMCFedRAMPGovernment ContractingCybersecurity ComplianceData Protection Requirements

Tech Stack

Tools & technologies

AzureCloudCyber SecurityETLKafkaPythonSQL

About the role

Key responsibilities & impact

Develop and maintain the enterprise data architecture, including data sources, databases, data warehouses, data lakes, integrations, APIs, and reporting platforms
Design scalable data solutions for operational systems, business intelligence, analytics, automation, and AI initiatives
Evaluate, select, implement, and manage data technologies and platforms
Establish data architecture standards, principles, patterns, and technology roadmaps
Develop multi-year modernization and optimization roadmaps
Perform hands-on data engineering, database administration, data integration, and architecture activities
Monitor data technology performance, capacity, availability, and reliability
Design and implement data pipelines and ETL/ELT processes
Develop and maintain data models for operational reporting, analytics, and business intelligence
Establish integration patterns connecting applications, databases, cloud services, and other data sources
Troubleshoot complex data, integration, and performance issues
Establish data governance practices, policies, standards, and procedures
Define data ownership, stewardship, classification, retention, and lifecycle requirements
Improve data quality, completeness, accuracy, consistency, and timeliness
Maintain data dictionaries, metadata repositories, business glossaries, and data lineage documentation
Ensure alignment with government contracting, cybersecurity, privacy, and compliance requirements
Support protection of CUI, PII, and other sensitive information
Collaborate on access controls, encryption, monitoring, logging, and data protection mechanisms
Support enterprise reporting, dashboards, management reporting, operational metrics, and executive analytics
Enable data solutions for automation, machine learning, and AI initiatives
Lead or contribute to data-related technology projects and strategic initiatives
Develop project plans, technical requirements, architecture documentation, and implementation approaches
Manage vendor and service-provider relationships
Participate in technology planning, budgeting, procurement, and vendor evaluations
Directly supervise data analysts, engineers, and other support staff
Handle employee selection, onboarding, coaching, performance management, disciplinary actions, and professional development
Provide leadership and oversight of the data management team’s operational activities

Requirements

What you’ll need

Bachelor’s degree in computer science, Information Systems, Data Science, Engineering, or a related field
8+ years of progressive experience in data architecture, data engineering, database management, business intelligence, or related technology disciplines
Hands-on experience managing data technologies and enterprise data environments
Experience designing and implementing data architectures, data warehouses, data integration solutions, and data pipelines
Experience with relational databases, Python, and SQL
Experience with cloud-based data technologies and platforms
Experience developing ETL/ELT processes and integrating data from multiple systems
Experience with data orchestration tools including Kafka, FiveTran, and dbt
Experience with data modeling, data governance, data quality, and metadata management
Experience supporting a government contractor or federal government organization
Experience with CUI, NIST SP 800-171, CMMC, FedRAMP, or other government cybersecurity requirements
Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, Power BI, Databricks, or similar technologies
Experience supporting enterprise data warehouses, data lakes, or Lakehouse architecture
Experience with APIs, integration platforms, and modern data architectures
Experience supporting AI, machine learning, or intelligent automation initiatives
Experience establishing or maturing an enterprise data governance program
Ability to lead, mentor, and develop a team of data professionals
Strong analytical, problem-solving, communication, and stakeholder management skills
Understanding of data architecture, modeling, integration, quality, governance, security, and lifecycle management
Understanding of government contracting security, compliance, contractual, and data protection requirements
Ability to translate business requirements into practical data solutions
Ability to move from strategy and architecture through implementation, operationalization, and continuous improvement

Benefits

Comp & perks

Full-time employment
Reasonable accommodations for individuals with disabilities
Equal Opportunity Employer / protected veteran and disability protections