We're seeking a skilled and motivated Data Engineer Advisor to spearhead AI-powered workload automation initiatives and inspire a high-performing team. The ideal candidate blends deep technical expertise with proven leadership experience and is looking to take the next step as a Database Engineering Advisor.
This is a 100% Remote position.
Key Responsibilities:
- Lead the design and optimization of advanced database solutions supporting AI-driven workflows.
- Collaborate cross-functionally to architect scalable, secure, and high-performing data infrastructure.
- Guide a team of engineers in developing data pipelines using tools like SSIS, SSRS, and SSDT.
- Review, refine, and standardize SQL code and stored procedures to enhance performance and maintainability.
- Translate business requirements into technical solutions using ERDs, data flow diagrams, and agile methodologies.
- Champion continuous learning, mentoring peers in SQL, cloud integration, DevOps, and modern database architectures.
Qualifications:
- Minimum of 8 years' experience with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
- US Citizenship
- Ability to obtain and maintain a T5/SSBI federally adjudicated clearance
- Proficiency in SQL Server Management Studio, T-SQL, and stored procedure optimization
- Experience leading engineering teams with a focus on collaboration and delivery excellence
- Hands-on expertise in Visual Studio, SSDT, Git-based version control (e.g., GitKraken, Azure DevOps), and ETL tools
- Familiarity with report development in Power BI, SSRS, and foundational understanding of Tableau
- Solid understanding of data modeling, schema design, and relational/non-relational database systems (e.g., Redis, MongoDB, Snowflake)
- Experience with Microsoft Azure, data warehousing, and cloud-native architectures
- Excellent oral and written communication skills for presentations and technical papers
- Ability to analyze key issues, draw conclusions from data, and recommend solutions to meet customer needs
Preferred Skills:
- Experience with AI/ML tools and integrating data pipelines with AI models
- Knowledge of GraphQL, SSAS, and data orchestration tools
- Enthusiasm for knowledge sharing, team development, and data governance best practices
Education:
- Bachelor's degree in Information Sciences, Computer Science, or related field
#RDG
Note: The job posting appears active; no indicators of expiration are present.