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 a BS/BA; minimum of 6 years with an MS/MA; minimum of 3 years with a 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.
- Strong communication skills to craft, tailor, and deliver presentations and papers on complex concepts.
- Ability to analyze key issues, draw conclusions from data, and recommend solutions to meet customer needs.
Preferred Skills:
- Exposure to 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: This job posting is active. No indication of expiration was found.