Senior Data Engineer (B2B AI & Data Products Enablement)

Creative Solutions Services, LLC; Orlando (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

Software Resources in Orlando is seeking a Senior Data Engineer (B2B AI & Data Products Enablement) to lead the design, development, and implementation of integrated data solutions powering analytics, reporting, and AI-driven experiences.

The role emphasizes scalable data foundations, self-service AI, semantic search, and governance, partnering with business, product, analytics, and technology teams to deliver trusted data assets for AI-enabled solutions.

Qualifications

• 7+ years in data engineering or enterprise data platform development.
• Experience designing and supporting enterprise data pipelines and data warehouse / Lakehouse solutions.
• Strong expertise in SQL and Python.
• Experience with cloud data platforms (e.g., Snowflake, AWS, Azure) and hybrid data integration patterns.
• Hands-on experience with ETL / ELT orchestration tools and data pipeline automation.
• Strong understanding of data modeling, semantic layer design, and performance optimization techniques.
• Experience developing solutions that support Generative AI, LLMs, AI Assistants, Copilots, or Conversational AI applications.
• Experience designing data architectures for Retrieval-Augmented Generation (RAG) or semantic search solutions.
• Familiarity with vector databases, embeddings, semantic indexing, and knowledge retrieval architectures.
• Experience integrating structured and unstructured enterprise data sources to support AI-driven applications.
• Strong understanding of AI governance, prompt engineering concepts, model evaluation, and responsible AI practices.
• Experience with modern AI frameworks and services such as Claude, Cursor, Snowflake Cortex AI, Databricks Mosaic AI, Amazon Bedrock, or equivalent technologies.
• Experience implementing metadata-driven architectures that improve data discoverability and AI consumption.
• Experience supporting BI and analytics platforms such as Power BI, Tableau, or similar tools.
• Familiarity with data governance, metadata management, and data quality frameworks.
• Ability to collaborate effectively across product teams, engineering disciplines, and business stakeholders.
• Strong analytical thinking, problem-solving capability, and communication skills.

Responsibilities

• Design and optimize scalable data pipelines in the DXT ecosystem.
• Architect data ingestion, transformation, and storage across cloud and hybrid environments.
• Establish reusable data engineering standards and best practices for consistency and scalability.
• Develop curated enterprise datasets for dashboards, analytics, and AI initiatives.
• Design data architectures to support enterprise AI applications and semantic search.
• Build and maintain Retrieval-Augmented Generation (RAG) frameworks and semantic search capabilities.
• Engineer scalable solutions that unify structured and unstructured data for AI-ready environments.
• Collaborate with business stakeholders to translate data needs into AI-enabled solutions.
• Enable enterprise users to access, understand, and trust data via conversational and self-service interfaces.
• Design vectorized data architectures and embeddings for LLM-based applications.
• Work with AI and analytics teams to operationalize AI-driven use cases with governance and security.

Skills

SQL

Python

Data Modeling

ETL/ELT

Snowflake

AWS

Azure

LLMs

RAG

Semantic Search

Data Governance

Power BI

Tableau

Education

Bachelor's Degree in CS/IS/Engineering

Tools

Databricks

Vector Databases

Knowledge Graphs

GraphRAG

LangGraph

Semantic Kernel

Power BI

Tableau

Job description

Software Resources has an immediate contract job opportunity for a Senior Data Engineer (B2B AI & Data Products Enablement) with a major corporation in Orlando, FL.

Role Summary

The Senior Data Engineer – B2B AI & Data Products will lead the design, development, and implementation of B2B integrated data solutions that power analytics, reporting, and AI-driven experiences. This role will be responsible for creating trusted, scalable data foundations while enabling next-generation self-service capabilities through AI-powered applications, conversational agents, semantic search, and intelligent data products. Working across business, product, analytics, and technology teams, this role will architect and engineer a modern integrated data ecosystem that makes information more accessible, discoverable, and actionable. The ideal candidate combines deep data engineering expertise with hands‑on experience enabling AI and generative AI solutions within data ecosystem.

Key Responsibilities:

Data Platform Engineering

• Design, build, and optimize scalable data pipelines and integration frameworks within the existing DXT ecosystem in accordance with DXT data standards, to support multiple B2B data products / source systems and enterprise reporting needs.
• Architect and implement data ingestion, transformation, and storage patterns across cloud and hybrid data environments.
• Establish reusable data engineering standards and best practices to enable consistency and scalability across product domains.
• Develop curated enterprise datasets that serve as trusted sources for dashboards, analytics, and AI initiatives.

AI Data Products & Agent Enablement

• Design and implement data architectures that support enterprise AI applications, conversational agents, and intelligent self-service experiences.
• Develop and optimize datasets, metadata structures, semantic layers, and knowledge repositories that enable natural language access to enterprise information.
• Build and maintain Retrieval-Augmented Generation (RAG) frameworks and semantic search capabilities supporting AI-powered data discovery.
• Engineer scalable solutions that integrate structured and unstructured data into AI-ready environments.
• Partner with business stakeholders to translate data accessibility challenges into AI-enabled solutions.
• Enable enterprise users to Client, understand, and consume trusted data assets through conversational and self-service interfaces.
• Design and implement vectorized data architectures and embedding strategies supporting LLM-based applications.
• Collaborate with AI and analytics teams to operationalize AI-driven use cases while ensuring governance, security, and compliance standards are maintained.
• Evaluate emerging AI technologies and recommend approaches that improve enterprise data accessibility, usability, and business value.

AI-Enabled Data Platform & Advanced Analytics Support

• Design and implement scalable AI-ready data pipelines supporting machine learning, generative AI, predictive analytics, intelligent automation, and agentic AI solutions.
• Develop data products optimized for LLM consumption, semantic search, AI-assisted analytics, and natural language querying.
• Create reusable frameworks supporting AI model training, inference, orchestration, monitoring, and lifecycle management.
• Integrate cloud AI services, large language models, vector databases, and enterprise knowledge platforms into the broader data ecosystem.
• Enable real-time and event-driven data architectures that support AI-powered decision making.

Reporting & Analytics Data Foundations

• Design and maintain data layers that support executive dashboards, operational KPIs, and enterprise reporting.
• Ensure data quality, lineage, and performance standards are met for datasets consumed by BI platforms, AI tools, and downstream analytical solutions.
• Collaborate with analytics teams to optimize data structures for AI enablement, visualization, self-service analytics, and advanced modeling.

Data Governance, Quality, and Reliability

• Implement data validation, monitoring, and observability processes to ensure reliable and trusted data delivery.
• Maintain documentation, metadata standards, and data definitions supporting enterprise governance and compliance requirements.
• Proactively identify opportunities to improve pipeline performance, data usability, and architectural efficiency.

Platform Evolution & Innovation

• Support modernization initiatives including cloud data platform expansion, automation, and AI readiness.
• Evaluate and implement modern technologies and approaches that enhance data scalability, resilience, and time-to insight.
• Contribute to the evolution of the organization's enterprise data strategy and operating model maturity.

Minimum Qualifications:

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Proven experience designing and supporting enterprise data pipelines and data warehouse / Lakehouse solutions.
• Strong expertise in SQL and Python.
• Experience with cloud data platforms (e.g., Snowflake, AWS, Azure) and hybrid data integration patterns.
• Hands‑on experience with ETL / ELT orchestration tools and data pipeline automation.
• Strong understanding of data modeling, semantic layer design, and performance optimization techniques.
• Experience developing solutions that support Generative AI, LLMs, AI Assistants, Copilots, or Conversational AI applications.
• Experience designing data architectures for Retrieval-Augmented Generation (RAG) or semantic search solutions.
• Familiarity with vector databases, embeddings, semantic indexing, and knowledge retrieval architectures.
• Experience integrating structured and unstructured enterprise data sources to support AI-driven applications.
• Strong understanding of AI governance, prompt engineering concepts, model evaluation, and responsible AI practices.
• Experience with modern AI frameworks and services such as Claude, Cursor, Snowflake Cortex AI, Databricks Mosaic AI, Amazon Bedrock, or equivalent technologies.
• Experience implementing metadata-driven architectures that improve data discoverability and AI consumption.
• Experience supporting BI and analytics platforms such as Power BI, Tableau, or similar tools.
• Familiarity with data governance, metadata management, and data quality frameworks.
• Ability to collaborate effectively across product teams, engineering disciplines, and business stakeholders.
• Strong analytical thinking, problem‑solving capability, and communication skills.

Preferred Qualifications:

• Experience supporting enterprise data product models or platform-based operating structures.
• Hands‑on experience enabling AI or machine learning workflows within enterprise data environments, including support for model data pipelines, intelligent data products, or automated insight generation.
• Experience supporting AI product development from concept through production deployment.
• Experience building enterprise conversational agents, AI assistants, or knowledge retrieval platforms.
• Hands‑on experience implementing RAG architectures and vector search platforms.
• Experience with GraphRAG, knowledge graphs, semantic modeling, or enterprise ontologies.
• Experience enabling natural language interaction with business datasets and analytics platforms.
• Experience using agents and orchestration frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
• Experience partnering with Product Managers to deliver AI-driven self-service capabilities.
• Exposure to machine learning data preparation, AI data pipelines, or advanced analytics environments.
• Experience implementing data observability or data reliability engineering practices.
• Background working in Agile delivery models with cross‑functional product teams.

Education

Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field — or equivalent professional experience.

About Software Resources

Software Resources, founded more than 3 decades ago, is a trusted staffing partner specializing in Technology (IT, Creative, & Marketing), Finance, & Accounting placements. We work with companies nationwide that need skilled professionals and connect them with candidates like you looking for the right opportunity. We are always looking for professionals at all experience levels and in various specialties to meet our clients' hiring needs. As a member of our team, you will have access to benefits including medical, dental, and vision coverage, a 401(k) with company match, short-term disability, life insurance with AD&D.