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Database Engineer​/Team Lead

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Nakupuna Companies
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Database Administrator
Job Description & How to Apply Below

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Overview

Nakupuna Consulting seeks a Database Engineer Team Lead with supervisory and leadership experience who will be responsible for maintaining and enhancing mission critical datasets for our Department of Defense (DoD) customer(s). The candidate will lead a team of 3–4 Database Administrators and Engineers, collaborating with both contractor and government civilian professionals, to accomplish database and data architecture priorities set by the customer.

The candidate should be familiar with Agile project methodologies, able to work with a geographically dispersed workforce, and be comfortable communicating with a variety of IT professionals including technicians, end‑users, and executive level stakeholders. This position demands knowledge of Microsoft SQL Server administration and development as well as the ability to quickly learn and implement new technologies as the customer migrates into managed database services.

Responsibilities

Leadership Responsibilities:

  • Work closely with the customer and database team to establish team tasks and priorities.
  • Serve as technical lead for a team of 3–4 database administrators and engineers to fulfill customer priorities.
  • Enforce project best‑practices, including ensuring all work is documented, approved, and properly reported.
  • Collaborate with the customer and other IT functional teams to ensure database requirements are being communicated and fulfilled.
  • Advise stakeholders on suggested courses of action, roadmaps, and compliance improvements as required.
  • Create white‑papers, PowerPoint presentations, and workflow diagrams to facilitate communication and documentation needs.
  • Supervise 3–4 database administrators / engineers. Supervisor duties include annual goal setting, frequent professional development conversations, coaching/mentorship, performance assessments.
  • Proactively seek opportunities to improve inefficient processes, and train IT administrators on database related activities.

Database Engineering Responsibilities:

  • Design and develop data pipelines, ETL processes, and data integration workflows to support business intelligence and analytics platforms.
  • Create and maintain logical and physical data models, ensuring alignment with business and system requirements.
  • Build, maintain, and optimize Microsoft SQL Server databases to ensure high availability, scalability, and reliability.
  • Implement data quality controls, auditing, and governance policies to ensure accuracy, consistency, and security of data assets.
  • Implement best practices for query tuning, indexing strategies, and storage optimization to achieve optimal database performance.
  • Develop automation scripts using T‑SQL, Power Shell, or other scripting languages to streamline data processes and database management tasks.
  • Leverage cloud‑based solutions to support data architectures within the Amazon Web Services (AWS) Gov Cloud environment.
  • Develop and maintain documentation including Standard Operating Procedures (SOPs), diagrams and presentations.
  • Help define data strategy and contribute to technology selection and adoption to improve the data ecosystem.
  • Develop comprehensive test suites and detailed test plans for unit testing, regression testing, and user acceptance testing (UAT).
Qualifications

Skills and Experience:

  • Excellent technical, organizational, decision‑making, analytical, and planning skills.
  • Effective communicator who takes initiative and the ability to adapt to dynamic environments.
  • Expertise in database design, data warehousing, and ETL processes.
  • Proficiency in Transact‑SQL (T‑SQL) for complex queries, stored procedures, and performance tuning.
  • Experience with data pipeline tools and technologies such as SQL Server Integration Services (SSIS).
  • Solid understanding of data modeling techniques, including star schema and snowflake schema designs.
  • Familiarity with cloud‑based data platforms, particularly in Amazon Web Services (AWS).
  • Experience with SaaS database solutions such as AWS RDS and/or Aurora hosted databases.
  • Knowledge of data governance, security, and compliance best practices.
  • Demonstrated proficiency with source control systems, including the…
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