AI Data Engineer – Data and Knowledge Graphs

Overview

Design and implement AI-ready semantic layer and knowledge graphs on Snowflake.

Key Responsibilities

• semantic monitoring
• semantic integration
• data modeling
• rapid prototyping
• data architecture
• standards development

Tasks

-Evaluate and monitor the performance, quality, and usability of semantic systems, ensuring they meet organizational objectives, external standards, and the demands of AI applications. -Act as a thought leader, constantly evaluating emerging trends in knowledge graphs, semantic AI, prompt engineering, and related technologies to strategically enhance DPR’s capabilities in knowledge representation and data understanding. -Integrate the semantic layer to serve as an AI-ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. -Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed, optimized, and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. -Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements (e.g., from AI prompt engineering initiatives) and backlog management, ensuring efficient and iterative delivery. -Rapidly prototype high-priority solutions in cloud platforms, demonstrating their feasibility and business value. -Participate in all phases of the project lifecycle and lead data architecture initiatives. -Lead the effort to establish and maintain comprehensive documentation for all aspects of the semantic layer, which includes defining and standardizing key business metrics, documenting ontological definitions, relationships, usage guidelines, and metadata for all semantic models, ensuring clarity, consistency, and ease of understanding for all data users. -Develop standards, guidelines, and best practices for knowledge representation, semantic modeling, and data standardization across DPR to ensure a clear and consistent approach within the enterprise semantic layer.

Requirements

• sql
• python
• pyspark
• snowflake
• data modeling
• ontology

What You Bring

-Proven expertise in data analysis, data modeling, and data engineering with a focus on cloud- native data platforms. -Strong proficiency in SQL, Python, and PySpark. -Strong analytical and problem-solving skills with keen attention to detail and the ability to translate complex business concepts into logical ontologies and knowledge graph structures. -3+ years of experience with data warehousing concepts, dimensional modeling, and data governance principles as they relate to structuring data for semantic enrichment. -3+ years of experience developing data solutions specifically for AI/ML applications leveraging structured data. -5+ years of hands-on experience in semantic modeling, ontology engineering, knowledge graphs, or related AI data preparation. -Skilled in orchestrating and automating data pipelines within a DevOps framework. -Proficiency in SQL and experience working with cloud-based data warehouses, preferably Snowflake. -Familiarity with agile methodologies, and experience working closely with cross functional teams to manage technical backlogs.

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About Dpr Construction

-A forward-thinking construction company that has grown from a small operation to a nationwide leader in the industry. -Focuses on complex, large-scale projects and is known for its expertise in delivering innovative, high-quality construction solutions. -Successfully completed projects across a range of sectors, including commercial, healthcare, education, and data centers, standing out for its ability to manage large budgets and tight schedules. -Notably completed several landmark projects, including high-tech facilities and cutting-edge educational buildings, often involving collaboration with some of the largest tech and medical organizations in the world. -Strong track record in renewable energy, particularly in solar and energy-efficient construction, positioning them as a leader in sustainable building practices. -Approach to construction is driven by technology and innovation, consistently pushing boundaries to ensure maximum efficiency and quality in its operations. -Commitment to performance and safety has earned a reputation for delivering projects that meet and exceed client expectations. -From healthcare campuses to advanced research labs, the company’s dedication to excellence ensures each project is tailored to the unique needs of the client and the community.

Sector Specialisms