Senior Data Engineer - AI Data Platforms

Stellent IT LLC; Orlando (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Stellent IT LLC in Orlando, FL is seeking a Senior Data Engineer B2B AI & Data Products to design, build, and implement scalable data solutions for analytics, reporting, and AI-powered applications. This role blends senior data engineering and data architecture with hands-on work supporting Generative AI, LLMs, RAG, semantic search, vector databases, and conversational AI.

You will collaborate with business, product, analytics, AI, and technology teams to enable self-service experiences using

Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Strong hands-on expertise in SQL and Python.
• Experience designing enterprise data pipelines, data warehouses, and/or Lakehouse solutions.
• Experience with cloud data platforms such as Snowflake, AWS, Azure, or equivalent.
• Experience with ETL/ELT orchestration and pipeline automation.
• Strong understanding of data modeling, semantic layer design, and performance optimization.
• Hands-on experience supporting Generative AI, LLMs, AI Assistants, Copilots, or Conversational AI.
• Experience designing RAG and/or semantic search architectures.
• Familiarity with vector databases, embeddings, semantic indexing, and knowledge retrieval.
• Experience integrating structured and unstructured data for AI applications.
• Understanding of AI governance, prompt engineering, model evaluation, and responsible AI concepts.
• Experience with modern AI frameworks/services such as Claude, Cursor, Snowflake Cortex AI, Databricks Mosaic AI, Amazon Bedrock, or equivalent technologies.
• Experience with metadata-driven architectures and data discoverability.
• Experience supporting BI platforms such as Power BI, Tableau, or similar.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Strong communication, analytical, problem-solving, and cross-functional collaboration skills.

Responsibilities

• Design, develop, and optimize scalable data pipelines and integration frameworks.
• Build data ingestion, transformation, and storage solutions across cloud and hybrid environments.
• Develop reusable data engineering standards, frameworks, and best practices.
• Create curated enterprise datasets for reporting, analytics, dashboards, and AI applications.
• Work with multiple B2B data products and source systems within the enterprise data ecosystem.
• Design data architectures supporting Generative AI, LLM applications, conversational agents, AI assistants, and intelligent self-service solutions.
• Build and optimize datasets, metadata, semantic layers, and knowledge repositories for natural-language access to enterprise data.
• Develop and maintain RAG and semantic search capabilities.
• Integrate structured and unstructured enterprise data into AI-ready environments.
• Design vectorized data architectures, embedding strategies, semantic indexing, and knowledge retrieval solutions.
• Support AI-driven data discovery and natural-language querying.
• Develop scalable pipelines supporting ML, Generative AI, predictive analytics, intelligent automation, and agentic AI.
• Build data products optimized for LLM consumption and AI-assisted analytics.
• Integrate cloud AI services, LLMs, vector databases, and enterprise knowledge platforms.
• Support AI model training, inference, orchestration, monitoring, and lifecycle requirements.
• Enable real-time and event-driven data architectures where required.
• Build and maintain data layers supporting executive dashboards, operational KPIs, and enterprise reporting.
• Ensure data quality, lineage, performance, and reliability for BI and AI consumers.
• Partner with analytics teams to optimize data structures for visualization, self-service analytics, and advanced modeling.
• Implement data validation, monitoring, observability, and reliability processes.
• Maintain metadata, documentation, data definitions, and governance standards.
• Ensure AI and data solutions comply with applicable security, governance, and responsible AI requirements.
• Identify opportunities to improve pipeline performance, data usability, scalability, and architecture.
• Contribute to cloud data platform modernization and AI-readiness initiatives.
• Evaluate emerging data and AI technologies and recommend solutions that improve scalability and business value.
• Help evolve enterprise data strategy, architecture, and operating-model maturity.

Skills

SQL

Python

Data modeling

Data pipelines

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Snowflake

AWS

Azure

ETL/ELT tooling

Vector databases

Job description

Stellent IT LLC in Orlando, FL is seeking a Senior Data Engineer B2B AI & Data Products to design, build, and implement scalable data solutions for analytics, reporting, and AI-powered applications. This role blends senior data engineering and data architecture with hands-on work supporting Generative AI, LLMs, RAG, semantic search, vector databases, and conversational AI.

You will collaborate with business, product, analytics, AI, and technology teams to enable self-service experiences using