Data Enablement Engineer

Deltek is a recognized global standard for project-based businesses, delivering software and information solutions. The Data Enablement Engineer will transform enterprise data into trusted, scalable products that empower analytics and AI capabilities, collaborating with stakeholders to ensure data is modeled, curated, and consumed effectively.

Responsibilities:

• Design and build business-facing data views and marts in Snowflake that serve analysts, domain stakeholders, and operational use cases. Clean, well-scoped, and documented enough to be trusted without hand-holding
• Design and maintain curated data views that serve as trusted, walled-garden assets for agentic AI systems, scoped precisely so an AI agent can operate confidently against governed, unambiguous data without exposure to raw or ill-defined upstream sources
• Experiment with and operationalize Snowflake Semantic Views, MCP service capabilities, and trusted queries as they mature into production-ready tools on our platform
• Partner directly with business analysts, BI developers, data engineers, finance, sales ops, and domain leads to gather data requirements and validate solutions
• Facilitate working sessions to surface implicit business rules, document them explicitly, and encode them into durable data products
• Serve as a translator between platform capabilities and business needs — explaining what is possible, what is governed, and what tradeoffs exist
• Support data enablement programs that help business users get more value from self-service analytics tools
• Apply data governance frameworks to ensure data products are documented, trustworthy, and appropriately access-controlled
• Maintain clear, business-friendly documentation for all owned data assets so consumers understand definitions, grain, and appropriate use

Requirements:

• US Citizenship is required for this position
• Strong SQL skills
• Solid understanding of dimensional data modeling: star schemas, fact/dimension design, grain definition, slowly changing dimensions
• Working knowledge of BI semantic model patterns (Power BI tabular models, Tableau Data Extracts, or equivalent)
• Proven ability to work directly with business users: gathering requirements, running working sessions, and iterating through feedback cycles
• Experience making structured and unstructured data useful to non-technical stakeholders
• Appreciation for why data scoping and access governance matter — especially in the context of AI systems consuming data; comfort reasoning about what a given audience should and should not see
• Familiarity with data governance concepts — lineage, access control, definitions management, documentation standards
• Iterative, collaborative working style; comfort with ambiguity and evolving requirements
• Experience with dbt for transformation and documentation within a modern data stack
• Exposure to Snowflake platform features: dynamic tables, data sharing, row-level security, object tagging
• Knowledge of Snowflake-specific SQL syntax (window functions, semi-structured data, query optimization)
• Familiarity with Snowflake Semantic Views, Cortex Analyst, or trusted query patterns — or strong curiosity to get there quickly
• Familiarity with data catalog or data discovery tooling
• Experience in a B2B SaaS or enterprise software environment