Data Enablement Engineer

Deltek is the recognized global standard for project-based businesses, delivering software and information solutions to help organizations achieve their purpose. The Data Enablement Engineer plays a critical role in transforming enterprise data into trusted, scalable data products that power analytics and decision-making, while ensuring data governance and quality.

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