Sr. Database Administrator
100% remote contract (potential contract-to-hire) Senior Database Administrator supporting a US federal government client through staffing firm The ACI Group. Day to day involves designing Snowflake-based data platforms, building automated ETL/ELT pipelines on AWS, and using SQL, Python, Jenkins, GitHub and DevSecOps practices in an Agile team.
- Compensation
- Not disclosed
- Location
- Baltimore, Maryland, United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor's degree or equivalent with 10+ years of experience as Data System Architect, Engineer or similar role
- US Citizen or Green Card holder who has lived in the US for 3 of the last 5 years; able to obtain a US Federal government client badge and pass a government background investigation
- Hands-on experience using Snowflake tools, SQL and Python
- Strong proficiency in DevSecOps, Snowflake, AWS services, Jenkins, and GitHub for source control, branching strategy and reviews
- Knowledge of data lake, data modeling, data integration patterns, data warehousing, and modern data architecture
- Strong analytical, written and verbal communication skills; ability to present findings to stakeholders
- Extensive knowledge of the most recent technical developments in Data Engineering
- Knowledge of Agile framework, Scrum methodologies and supporting tools
Nice to have
- Snowflake Certification
- Prior experience with government agencies
Full description
**Sr. Database Administrator, RemoteNO THIRD PARTY RECRUITERS!!!!!
- Contract; Potential Contract to Hire
- 100% Remote
- Due to our government client requirements, we can only consider US Citizen or a Green Card holders who have lived in the US for 3 of the last 5 years. Must be able to obtain a US Federal government client badge and pass a government background investigation.
- NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED.Description
We are seeking a Sr. Database Administrator to support our Government client to design, build, and optimize scalable data solutions, data pipelines and cloud-based solutions.
As part of a cross-functional team, the Sr. Database Administrator will support efforts to design and implement a robust environment capable of ingesting diverse data sources to support advanced data analytics and data reporting needs. Core responsibilities include defining structural, interface, and business requirements for data solutions; designing relational and non-relational databases and their associated integration components; and implementing a Snowflake-based system with automated data pipelines.
This role blends advanced data engineering with hands‑on cloud solutions engineering, leveraging AWS, Snowflake, and modern DevSecOps practices. The ideal candidate has experience delivering high‑quality solutions in an Agile environment.
Responsibilities
- Collaborate closely with business stakeholders, cross‑functional and internal technical teams to gather requirements, document business rules and develop thorough understanding of the business context and objectives.
- Designing schemas and scalable data models (star/snowflake schemas) that support self-service analytics, product operations, and AI workloads.
- Collaborate to design secure, scalable, and cost‑optimized data solutions.
- Design, build, and maintain scalable, reliable ETL/ELT data pipeline workflows to process structured and unstructured data using AWS, Snowflake and Snowflake tools.
- Perform extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
- Develop and optimize data models, both conceptual and physical, to support analytics, reporting, dashboards and operational consumption.
- Implement data quality, validation, and monitoring frameworks to ensure accuracy and reliability.
- Ensure data workflows are modular, testable, and properly version‑controlled.
- Operationalize pipelines with monitoring, alerting, and automated recovery mechanisms.
- Conduct advanced data analysis using languages such as Python and SQL.