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# Cleared Data Analyst (5553)

- **Company:** SMX, LLC
- **Location:** Harrisburg, PA, United States
- **Experience:** Experienced
- **Salary:** $65,000.0 - $108,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Information Systems, Data Architecture, Data Dictionary, Information Engineering, Data Governance, Data Mapping, Database Design, Database Queries, Document-Oriented Databases, Information Lifecycle Management, Meta-Data Management, Cloud Services, Snowflake, Information Technology, Data Lineage, Data Management, Api Management, Domain Model, Databricks
- **Published:** August 29, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3369504484&tx=DT11101UTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, or a related field.
 * 2-6 years of professional experience in data analysis, data mapping, data modeling, or a related data role.
 * Strong SQL skills and the ability to profile, query, and analyze data across multiple source systems.
 * Experience with data mapping and source-to-target documentation.
 * Working knowledge of data modeling and domain/canonical data models, schema design, and database design concepts.
 * Understanding of the end-to-end data lifecycle and how data moves across integrated systems.
 * Familiarity with API schema design and how data elements map to API contracts.
 * Strong technical writing skills and the ability to communicate requirements to both technical and non-technical audiences.

Desired Skills/Experience

 * Experience with Master Data Management (MDM), golden-record concepts, and survivorship rules.
 * Experience with data governance, metadata management, data quality frameworks, and lineage tooling.
 * Experience defining data rules and validation logic for ingestion or transformation processes.
 * Familiarity with cloud data platforms (e.g., Databricks, Snowflake, AWS) and modern data catalogs.
 * Exposure to data-as-a-product or domain-driven data design.
 * Experience working in Agile delivery teams and communicating requirements to build/engineering teams.

## Description

* Profile data sources to assess structure, quality, completeness, and relationships, and document findings that inform mapping and design decisions.
 * Document end-to-end data lineage - tracing how data moves across systems through its full lifecycle, from origin through transformation to consumption.
 * Align source data to a canonical/domain data model, mapping source elements to target structures to support database design and consistent enterprise definitions.
 * Apply data elements to API schema design, translating business and data requirements into schemas that build teams can implement.
 * Develop and document data rules - standardization, validation, and quality rules - and apply Master Data Management (MDM) and well-managed data practices.
 * Produce clear technical documentation (source-to-target mappings, data dictionaries, metadata, and lineage artifacts) that other teams can build from.
 * Communicate technical requirements to engineering and build teams, and gather and clarify data requirements directly with clients and stakeholders.
 * Collaborate with data engineers, architects, and analysts to ensure mapped data meets downstream needs for products, APIs, and analytics.


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