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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in database engineering, cloud data platforms, and data governance standards, with a strong focus on implementing security controls and leading database migrations. Proficient in designing data schemas, metadata management, and ensuring data quality within ETL pipelines.
Highest-signal resume keywords
Database EngineeringCloud Data PlatformsPython or Scala for ETLFIPS 140 and NIST SP 800-171 ComplianceData Migration Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Database DesignData ModelingMetadata ManagementETL Pipeline ImplementationData Quality Framework DevelopmentSchema DesignField-Level Mapping DocumentationRole-Based Access Control (RBAC)Data Security ControlsProduction Monitoring
Tools & Technologies
DatabricksDelta LakeCloud Data Lakehouse PlatformsVersion-Controlled Code Repositories
Industry Keywords
Federal CUI RegistryData Governance StandardsPublic Trust ClearanceProduction Cutover ActivitiesPost-Deployment Validation
Tech Stack
Tools & technologiesCloudETLPythonScala
About the role
Key responsibilities & impact- Lead the design and implementation of the harmonized data schema for federal species data within a cloud data lakehouse
- Reconcile structural and semantic differences across multiple source systems
- Produce field-level source-to-target mapping documentation covering transformation logic, data type conversions, null handling, and data lineage
- Define and enforce metadata standards across ingested datasets
- Design and implement automated data quality validation frameworks within ETL pipelines
- Design and build the Metadata and Authoritative Source Registry
- Implement FIPS 140-compliant encryption and enforce NIST SP 800-171/800-172 database security controls and role-based access controls
- Apply Federal CUI Registry and data governance standards to platform data
- Lead database performance monitoring and optimization within the cloud data platform
- Contribute database-layer schema decisions, field-level mapping documentation, and metadata definitions to the Data Model Harmonization Report
- Lead database components of the production migration runbook and execute database migration tasks during production cutover
- Document migration outcomes, post-deployment data validation results, and production monitoring findings in the Production Deployment Report
- Lead the database documentation for Final Operational Playbooks
Requirements
What you’ll need- Bachelor's degree and 12 years professional experience, or a Master's degree and 10 years professional experience, or an Associate's degree and 14 years professional experience, or a high school diploma/equivalent and 16 years' professional experience
- U.S. Citizenship required
- Must have the ability to obtain and maintain a Public Trust clearance
- Extensive database engineering experience with expertise in cloud data platforms
- Hands-on experience with Databricks, Delta Lake, or equivalent cloud data lakehouse platforms
- Proficiency in Python or Scala for ETL pipeline implementation, data quality framework development, and database automation scripts
- Knowledge of FIPS 140, NIST SP 800-171/800-172, and federal CUI data governance standards
- Experience designing and implementing RBAC and data security controls in federal cloud environments
- Experience leading database migrations and production cutover activities on federal programs
- Experience with version-controlled code repositories and peer review enforcement
- Experience documenting post-deployment monitoring results and production validation outcomes
- Strong data modeling, schema design, and metadata management skills
Benefits
Comp & perks- Employees may be eligible for overtime
- Employees may be eligible for shift differential
- Employees may be eligible for a discretionary bonus
- Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law
