cBEYONData
ClearedHybridSeniorDataEngineer/Analyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Cleared Hybrid Senior Data Engineer / Analyst at cBEYONData. Skills: Data mapping, Data lineage, Data integration, Data governance. Review Data Dictionaries. Analyze Data Dictionaries”
What You'll Achieve.
Support enterprise integration; Support data governance; Support modernization efforts
Industry & Context.
Analytical; Problem-solving; Critical-thinking
Secret clearance
What They're Looking For.
Must Have
Bachelor's degree in information systems, Bachelor's degree in Computer Science, Bachelor's degree in Data Management, Bachelor's degree in Engineering, Bachelor's degree in Business Analytics, Minimum 5 years of professional experience, Experience documenting data mappings, Experience documenting transformation rules, Experience documenting data lineage, Experience with SQL, Experience with relational database technologies, Ability to independently analyze complex enterprise systems, Secret clearance
Nice to Have
Experience supporting enterprise data architecture, Experience supporting data governance, Experience supporting data management initiatives, Familiarity with metadata management tools, Familiarity with data cataloging tools, Experience supporting data migration, Experience supporting system integration, Experience supporting modernization efforts, Experience supporting federal government programs, Experience supporting DoD programs, Knowledge of DoD data standards, Knowledge of enterprise data strategies, Familiarity with cloud-based data platforms, Familiarity with cloud data architectures, Experience with data quality assessment, Experience with data profiling activities, Understanding of Master Data Management concepts, Experience creating enterprise data models, Experience maintaining enterprise data models
What You'll Do.
Review Data Dictionaries
Analyze Data Dictionaries
Interpret Data Dictionaries
Review interface control documents
Analyze interface control documents
Interpret interface control documents
Review technical artifacts
Analyze technical artifacts
Interpret technical artifacts
Develop enterprise Master Data Mapping documentation
Maintain enterprise Master Data Mapping documentation
Govern enterprise Master Data Mapping documentation
Document field-level mappings
Document transformation rules
Document data lineage
Document relationships across systems
Document relationships across data sources
Collaborate with system owners
Collaborate with database administrators
Collaborate with developers
Collaborate with business analysts
Collaborate with architects
Validate data definitions
Resolve mapping discrepancies
Analyze source system data models
Analyze target system data models
Identify relationships
Identify dependencies
Identify integration requirements
Identify data quality issues
Identify redundancies
Identify inconsistencies
Identify opportunities for data standardization
Support enterprise data governance initiatives
Assist with impact assessments
Ensure data mapping activities comply with DoD security
Ensure proper handling of CUI
Support development of enterprise data architecture artifacts
Support maintenance of enterprise data architecture artifacts
Support development of enterprise data architecture documentation
Support maintenance of enterprise data architecture documentation
Participate in data modernization planning
Participate in system integration planning
Provide recommendations to improve data consistency
Provide recommendations to improve data interoperability
Provide recommendations to improve enterprise data management
Serve as subject matter expert for enterprise data
Serve as subject matter expert for cross-system data
How You'll Work.
Team & Collaboration
Collaborate with technical stakeholders; Collaborate with multiple organizations
Communication Scope
Written communication; Verbal communication; Technical documentation
Full Job Description
cBEYONData, a subsidiary of SMX, is seeking a Senior Data Mapping Analyst to support a federal customer's enterprise data modernization and integration initiatives. This role is responsible for analyzing complex data structures across legacy and modernized systems and translating technical data artifacts into a comprehensive enterprise data mapping framework. The ideal candidate possesses strong analytical skills, experience working with relational databases and data models, and the ability to collaborate effectively with technical stakeholders across multiple systems and organizations. This role will support enterprise data architecture efforts by reviewing Data Dictionaries, Entity-Relationship Diagrams (ERDs), interface specifications, and related technical documentation to establish and maintain authoritative cross-system data mappings, data lineage, and transformation rules. The successful candidate will operate with a high degree of independence, providing expert-level analysis and recommendations that support enterprise integration, data governance, and modernization efforts. This role is hybrid supporting a Hanover, MD program. Essential Duties & Responsibilities: • Review, analyze, and interpret Data Dictionaries, Entity-Relationship Diagrams (ERDs), interface control documents, and other technical artifacts from enterprise systems • Develop, maintain, and govern enterprise Master Data Mapping documentation to support data integration and modernization efforts • Document field-level mappings, transformation rules, data lineage, and relationships across multiple systems and data sources • Collaborate with system owners, database administrators, developers, business analysts, and architects to validate data definitions and resolve mapping discrepancies • Analyze source and target system data models to identify relationships, dependencies, and integration requirements • Identify data quality issues, redundancies, inconsistencies, and opportunities for data sta
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