Senior Data Enterprise Engineer Jobs

Senior Enterprise Data Engineer

For more than a decade, Karthik Consulting has been a reliable and trusted advisor to our Government customers, providing independent and unbiased recommendations and solutions to mitigate risk and help solve IT issues. We bring the innovation, passion, and agility of the commercial sector to meet the unique challenges of this competitive space. Karthik Consulting is seeking Senior Enterprise Data Engineer with the below skillset.

Fulltime with Karthik Consulting

Location:

National Capital Region, Colorado Springs or Denver surrounding areas Clearance:
Active TOP SECRET / SCI (Polygraph may be required)

The Senior Enterprise Data Engineer establishes, optimizes, and maintains the technical data foundation for the Air Force Intelligence Community (AF IC) Information Environment. Operating directly at the Headquarters Air Force (HAF) staff level, this role ensures all organizational data assets are securely postured for multi-domain discovery, ingestion, and integration across mission partners. The position is responsible for delivering end-to-end enterprise data mapping, constructing live data asset catalogs with strict metadata analysis, validating data maturity, and providing specialized engineering support throughout the complete data lifecycle.

By translating functional data requirements into resilient technical data pipelines, this role ensures intelligence analysts can securely exploit data as a critical strategic asset.

This role supports the Air Force Intelligence, Surveillance, and Reconnaissance (ISR) Digital Infrastructure Transformation. The mission focuses on modernizing, designing, and sustaining an integrated digital environment that transitions from historical hardware-based industrial constraints to software-defined digital processes. This modern enterprise architecture interconnects physical and virtual technologies across Data and Analytics, Sense-Making, Automation, Augmentation, and Artificial Intelligence (AAA), Hybrid/Multi-Cloud environments, Networks, and Zero Trust security frameworks to safely deliver intelligence to warfighters at the speed of relevance.

The role operates within the operational oversight of the AF IC Chief Information Officer (CIO), Chief Data Officer (CDO), IT Risk Management Framework Authorizing Official (AO), and Chief Technology Officer (CTO). The work spans the entire spectrum of Air Force ISR Information Environment operations, encompassing strategic data management, data lifecycle tracking, asset visualization, and engineering data integration support across NIPR, SIPR, and JWICS infrastructures.

• Enterprise Data Mapping & Visibility
• Data Asset Inventory & Metadata Cataloging
• Master Data Management (MDM) Readiness & Maturity Analysis
• Data Lifecycle Analysis & Technical Integration Support

Education:

Required:

Bachelor's Degree in a STEM-related or analytical field. Preferred:
Master's Degree in a STEM-related or management field.

Professional

Certifications:

Required:

CompTIA Security+ CE (or equivalent DoD 8570.01-M / DoD 8140 IAT Level II baseline certification). Preferred:
Certified Data Management Professional (CDMP/DAMA-DMBOK), Cloudera Certified Professional (CCP) Data Engineer, or relevant big data/database management certifications.

Minimum Qualifications:

Experience:

6–12+ years of professional technical data engineering, data modeling, metadata management, or systems engineering experience within the DoD or Intelligence Community. Clearance:
Final, verified TOP SECRET / SCI clearance day-one. Staff Expertise:
Demonstrated background supporting HAF, MAJCOM, OSD, Joint Staff, or CCMD headquarters-level staff actions and coordination processes. Technical

Skills:

Mastery of data management principles, data lifecycle analysis, and data schema design across relational, non-relational, or graph databases (e.g., SQL, No

SQL). Functional Translation:
Proven skill in performing needs analyses, evaluating data collection paths, and translating customer tracking requirements into stable data solutions.

Comprehensive knowledge of data governance frameworks (such as the DAMA-DMBOK data management body of knowledge). Practical familiarity with building and scaling Extract, Load, Transform (ELT) or Extract, Transform, Load (ETL) data pipelines, data warehouses, and data lakes. Working knowledge of USAF, DoD, and IC infrastructures, specifically data transport protocols across the Joint Worldwide Intelligence Communications System (JWICS). Familiarity with how data cataloging, feature engineering, and data preparation standards impact downstream AI/ML and advanced data science workflows.

Accountability & Ownership Takes full professional responsibility for the reliability of the enterprise data foundation, metadata records, and lifecycle analysis, ensuring all engineering pipelines are managed with sound judgment. Communication &…