Senior Data Platform & Business Intelligence Lead

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We are a growing information technology company that offers its employees a culture of success, the chance to work on revolutionary federal IT infrastructure, and the opportunity to grow alongside cutting-edge technology that is reshaping the industry. We are seeking forward-thinking candidates that have strong experience in operational support and can help take to the next level in a proactive stance.
 
Chameleon Integrated Services has expertise in operations management, quality systems, data operations and cybersecurity. We secure some of the most sensitive data for the Department of Defense and for other U.S. federal government agencies. We are known for the great care we take with clients and employees, and we believe in promoting from within.
  
We offer a Full Benefits package including:

• Competitive Employee Health Insurance options including dental
• 100% company paid vision plan
• 401K plan with generous company match and no vesting period
• 100% company paid life insurance
• 100% company paid long and short-term disability insurance
• Training allowance
• PTO and more

Senior Data Platform & Business Intelligence Lead

Location: Linthicum Heights, MD
Employment Type: Full-Time / Contingent Upon Contract Award
Clearance Required: TS/SCI clearance eligibility preferred;
U.S. Citizenship required

Position Note
Chameleon Integrated Services is actively bidding on a proposal to provide Cyberspace Operations and Development for the Enterprise (CODE) services under the DC3 Technical, Analytical, and Business Operations (TABO) requirement. This position is contingent upon contract award.

Position Overview
Chameleon Integrated Services is seeking a Senior Data Platform & Business Intelligence Lead to design, deploy, and govern enterprise-wide data ecosystems across our unclassified and classified networks.
This is an advanced data engineering infrastructure role. Candidates whose experience is primarily limited to front-end dashboard building or superficial report writing without underlying data engineering or platform implementation background will not be considered. The ideal candidate must have hands-on production experience building automated pipelines, optimizing data lakes, and implementing data governance frameworks.

Responsibilities

• Establish and operate an enterprise-wide data governance framework that ensures data quality, security, and interoperability across multiple directorates.
• Implement technical systems for metadata management, structural data tagging, and content attribution in strict alignment with agency data policies.
• Build, configure, and manage high-performing data warehouse and data lake environments inside secure cloud and hybrid systems.
• Design, test, and deploy automated Extract, Transform, and Load (ETL) data pipelines using modern DevSecOps deployment frameworks.
• Develop secure Application Programming Interfaces (APIs) to facilitate interoperability and secure interagency data exchanges.
• Monitor data quality metrics and build remediation scripts to correct gaps, reporting performance directly to government technical leads.
• Manage secure access controls and data-tagging systems to align platform storage with Information, Knowledge, and Records Management (IM/KM/RM) compliance mandates.

Required Skills & Qualifications

• Production engineering experience implementing enterprise-scale data platforms, data warehouses, or data lakes.
• Direct experience writing automated data pipelines, custom ETL processes, and interoperable APIs.
• Deep understanding of enterprise data governance, data security controls, and metadata tagging protocols.
• Experience working inside controlled, regulated, or federal enterprise network environments.

Preferred Qualifications

• Background supporting data governance or data engineering within a DoD classified system or a secure multi-cloud footprint.
• Experience integrating data pipelines with DevSecOps environments or DoD software factories.
• Active TS/SCI security clearance.

“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status”

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