Senior Data Engineer — AI-Ready Data Platforms

Solomon Page

Orlando (FL)

On-site

USD 110,000 - 117,000

Full time

5 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
401(k) Plan
Direct Deposit
Commuter Benefits

Job summary

Solomon Page is seeking a Senior Data Engineer to design scalable data solutions powering enterprise analytics, reporting, and AI-driven applications. The role emphasizes Generative AI, LLMs, RAG, semantic search, and AI-powered data products.

Responsibilities include building data pipelines, trusted datasets, and AI-ready architectures while ensuring data quality, governance, and security across hybrid environments. Collaboration with business, product, analytics, and tech teams is essential.

Qualifications

  • 7+ years of experience in data engineering, data architecture, or enterprise data platforms.
  • Strong expertise in SQL and Python.
  • Experience with cloud data platforms such as Snowflake, AWS, or Azure and hybrid data environments.
  • Hands-on experience with Generative AI, LLMs, AI Assistants, Copilots, or Conversational AI.
  • Experience designing RAG, semantic search, vector databases, embeddings, and knowledge retrieval solutions.
  • Experience with metadata management, semantic layers, data governance, and data quality frameworks.
  • Experience supporting Power BI, Tableau, or similar BI platforms.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.

Responsibilities

  • Design, build, and optimize scalable data pipelines, integrations, and enterprise data platforms.
  • Develop curated, trusted datasets for analytics, reporting, dashboards, and AI applications.
  • Build AI-ready data architectures supporting LLMs, RAG, semantic search, and AI assistants.
  • Design semantic layers, metadata structures, knowledge repositories, vector databases, embeddings, and retrieval solutions.
  • Integrate structured and unstructured data into scalable AI-enabled environments.
  • Develop data pipelines supporting machine learning, Generative AI, and predictive analytics.
  • Ensure data quality, governance, security, lineage, observability, and compliance.
  • Partner with cross-functional teams to deliver AI-driven self-service and data discovery.

Skills

SQL
Python
Data Modeling
ETL/ELT
Data Warehousing
Cloud Platforms
Snowflake
AWS
Azure
RAG
LLMs
Semantic Search
Power BI

Education

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

Tools

Snowflake
AWS
Azure
Databricks
Bedrock

Job description

Solomon Page is seeking a Senior Data Engineer to design scalable data solutions powering enterprise analytics, reporting, and AI-driven applications. The role emphasizes Generative AI, LLMs, RAG, semantic search, and AI-powered data products.

Responsibilities include building data pipelines, trusted datasets, and AI-ready architectures while ensuring data quality, governance, and security across hybrid environments. Collaboration with business, product, analytics, and tech teams is essential.

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