cBEYONData

ClearedHybridSeniorDataEngineer/Analyst

$112–189k Hanover, Maryland, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Problems you'll solve

Analytical; Problem-solving; Critical-thinking

Eligibility Requirements

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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