Dynanet Corporation

Database Administrator

• Architect, design, and implement cloud-native database solutions across relational, NoSQL, and vector database technologies.
• Lead database strategy and standards to support AI/ML and LLM workloads, including embeddings, semantic search, and retrieval-augmented generation (RAG).
• Design and optimize data models, schemas, indexing strategies, and storage patterns for performance and scalability.
• Build and manage vector databases to support similarity search, recommendations, and AI inference pipelines.
• Collaborate with AI/ML engineers, application developers, and platform teams to integrate databases into end-to-end systems.
• Ensure high availability, disaster recovery, security, and compliance across all database platforms.
• Optimize cost, performance, and reliability in cloud environments.
• Implement monitoring, alerting, backup, and automation for database operations.
• Provide technical leadership, documentation, and best-practice guidance to engineering teams.
• Evaluate and recommend new database technologies and cloud services as requirements evolve.

Database Architect, Cloud, AI, LLM Platforms

Security Engineer

• Validate sensitivity classification for data systems applying Controlled Unclassified Information (CUI), Protected Health Information (PHI), and Personally Identifiable Information (PII) classifications during metadata inventory activities
• Implement and enforce privacy controls ensuring compliance with Health Insurance Portability and Accountability Act (HIPAA), Federal privacy regulations, and organizational security policies
• Establish governance guardrails including role-based access controls (RBAC), data handling procedures, and security validation checkpoints for enterprise data catalog operations
• Design and validate security architectures for interim centralized repositories ensuring encryption at rest and in transit, audit logging, and authorized access controls
• Conduct security assessments for federated catalog integration including metadata exchange security, authentication protocols, and data protection mechanisms
• Develop and implement automated compliance monitoring including security control validation, privacy impact assessments, and regulatory compliance reporting
• Oversee security aspects of automated metadata harvesting ensuring secure extraction methods and protection of sensitive information during processing
• Validate Artificial Intelligence (AI) tool usage compliance ensuring approved tools are used within authorized environments with appropriate data handling controls
• Support User Acceptance Testing (UAT) security validation ensuring test scenarios maintain appropriate security controls and data protection measures
• Create security documentation including technical security controls, privacy procedures, and compliance validation processes

Security and Privacy SME

QA Engineer

• Execute comprehensive functional testing of enterprise data catalog systems including metadata ingestion, search capabilities, and data discovery workflows
• Perform usability validation testing across persona-specific interfaces ensuring data stewards, analysts, and governance users can effectively navigate and utilize system capabilities
• Conduct testing of automated metadata harvesting processes validating extraction accuracy, completeness, and quality against established standards
• Execute validation testing of governance workflows including metadata creation, review, approval, and publication processes
• Perform quality assurance testing of interim centralized repositories ensuring secure storage, access controls, and workflow functionality
• Test federated catalog integration capabilities including metadata exchange, synchronization processes, and external system connectivity
• Validate Artificial Intelligence (AI) tool integration ensuring generated documentation meets quality standards and compliance requirements
• Execute regression testing ensuring system updates and enhancements maintain existing functionality and performance
• Conduct cross-browser and cross-platform testing for self-service portal capabilities and user interface functionality
• Document test results, defect tracking, and validation findings with clear recommendations for issue resolution

QA Automation Engineer

• Design and implement automated metadata ingestion workflows using government-provided Structured Query Language (SQL), Python, and R tools for systematic data extraction across diverse system types
• Develop automated validation processes including completeness checks, accuracy verification, and quality scoring with automated alerts and issue flagging capabilities
• Build governance enforcement automation including stewardship accountability workflows, approval routing, and metadata quality monitoring with Service Level Agreement (SLA) tracking
• Create compliance workflow automation ensuring Health Insurance Portability and Accountability Act (HIPAA), Federal regulatory, and organizational requirement adherence with automated reporting
• Implement automated metadata harvesting capabilities targeting schemas, data elements, relationships, lineage indicators, and quality signals across heterogeneous systems
• Develop validation frameworks testing metadata accuracy against manual inventory findings using rule-based checks and human-in-the-loop validation processes
• Build automated documentation generation workflows utilizing approved Artificial Intelligence (AI) tools with mandatory Subject Matter Expert (SME) review processes
• Create automated quality checks and compliance monitoring including real-time dashboards, automated alerts, and remediation workflow triggers
• Implement repository automation including intake workflows, approval routing, version control, and audit trail generation
• Support federated catalog automation including metadata synchronization, schema mapping, and automated exchange processes with external systems

Automation Engineer

Risk

• Establish and enforce metadata standards and data element definitions ensuring consistency, discoverability, and usability across enterprise data systems
• Design and implement governance rules including metadata creation, review, approval, and publication processes with defined roles and escalation paths
• Develop and monitor KPIs for metadata quality including completeness rates, update timeliness, and compliance status with automated alerts for issues
• Create and maintain metadata management workflows including stewardship accountability, Service Level Agreement (SLA) enforcement, and quality monitoring processes
• Produce formal governance documentation including processes, procedures, and policy guides for metadata stewardship and lifecycle management
• Implement compliance reporting for Health Insurance Portability and Accountability Act (HIPAA), Federal regulations, and organizational requirements
• Design business processes supporting metadata management workflows including validation rules, approval routing, and quality flagging
• Establish and monitor governance effectiveness indicators including stewardship performance, policy adherence, and issue resolution metrics
• Support federated governance pilot activities including role clarity assessment, policy execution testing, and steward escalation path validation
• Develop data product lifecycle processes including creation, publication, versioning, and deprecation workflows with compliance checkpoints

Metadata, Data Governance Analyst

Program Manager

• Lead overall program delivery across multiple concurrent objectives including baseline data inventory, repository establishment, analysis of alternatives, automated metadata harvesting, and self-service portal evaluation
• Execute comprehensive schedule management using phased execution roadmaps with defined quality gates, executive reviews, and acceptance checkpoints
• Manage cost control and budget oversight for fixed-price contract delivery, including resource allocation and performance tracking against targets
• Coordinate cross-functional stakeholder engagement including data domain owners, stewards, Subject Matter Experts (SMEs), and Federal leadership teams
• Maintain active COR engagement through weekly status communications, monthly progress briefings, and quarterly in-person reviews
• Oversee risk management including identification, assessment, mitigation planning, and escalation of program risks and issues
• Lead executive reporting including monthly status reports, quarterly review presentations, and ad-hoc stakeholder communications
• Manage program integration across objectives ensuring proper sequencing, artifact handoffs, and dependency coordination
• Facilitate government decision gates and approval processes for critical program milestones
• Oversee knowledge transfer activities and transition planning for sustained government operations