Senior Data Engineer

LHH; Dallas (TX); On-site; USD 160,000 - 170,000; Full time

Job summary

LHH is seeking a senior Data Engineer in Dallas to design and build enterprise AI capabilities end-to-end, combining architecture design, coding, and data engineering around Snowflake.

You will define standards for RAG, agents, and automation, develop AI-powered applications, and collaborate with data teams to ensure trusted, governed data across the enterprise.

Qualifications

• 3–7 years in software engineering or architecture.
• 2+ years building and architecting AI/ML solutions end-to-end.
• Strong Python and experience with AI frameworks (OpenAI, LangChain, Semantic Kernel).
• Strong SQL and experience with Snowflake or similar data platforms.
• Expertise in modern data architectures (warehouse, lakehouse, ETL/ELT).
• Deep understanding of LLMs, embeddings, vector search, and orchestration.
• Strong enterprise architecture knowledge (cloud, security, integration, identity).
• Understanding of responsible AI principles (privacy, bias, security).

Responsibilities

• Design scalable, secure AI architectures aligned with business needs.
• Translate requirements into end-to-end AI solutions across data, models.
• Develop standards for RAG, copilots, agents, ML, and automation.
• Evaluate AI tools, platforms, and vendors.
• Ensure performance, scalability, cost-efficiency, and security.
• Hands-on development of AI applications using relevant platforms.
• Develop RAG pipelines, agents, and business automations.
• Create prompts, guardrails, and evaluation frameworks.
• Prototype and productionize AI use cases rapidly.

Skills

Python

SQL

LLMs

AI frameworks

Architecture design

Responsible AI

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Snowpark

Cortex AI

Dynamic Tables

dbt

Azure Data Factory

Fivetran

Airbyte

Azure OpenAI

Job description

Salary: $160,000-170,000, with annual bonus up to 20%

Must currently live in Dallas. Texas is an option if self relocating is an option.

Role is not open to visa candidates or candidates working with third parties.

About the Role

We are seeking a highly skilled Data Engineer to design and build our enterprise AI capabilities end-to-end. This is a hands-on role where you’ll define architecture standards, select technologies, and actively develop AI-powered applications, agents, and automations. You will play a critical role in connecting AI solutions to the company’s data ecosystem — especially Snowflake — ensuring all solutions are built on trusted, governed data. This position is ideal for a senior technologist who thrives equally in architecture design, coding, and data engineering,

Key Responsibilities

• Design scalable, secure AI architectures aligned with business needs
• Translate requirements into end-to-end AI solutions across data, models
• Develop standards for RAG, copilots, agents, ML, and automation
• Evaluate AI tools, platforms, and vendors
• Ensure performance, scalability, cost-efficiency, and security
• Hands-on Development
• Build AI applications using platforms like Azure OpenAI, Copilot Studio, and Claude
• Develop RAG pipelines, agents, and business automations
• Create prompts, guardrails, and evaluation frameworks
• Prototype and productionize AI use cases rapidly

Data & Snowflake Integration

• Design pipelines connecting Snowflake and enterprise data to AI systems
• Build embedding pipelines, vector search, and semantic data layers
• Partner with data teams (dbt, ADF, Databricks) to prepare AI-ready data
• Leverage Snowflake features (Cortex AI, Snowpark, Streams & Tasks)
• Ensure data governance, security, and compliance standards

Integration & Enterprise

• Integrate AI solutions with Microsoft 365, Teams, SharePoint, ERP, and business systems
• Define secure architecture across identity, networking, and data flows
• Partner cross-functionally to deploy and operationalize AI solutions
• Establish monitoring, observability, and production support models
• Meet with engineers and guide technical design decisions
• Define coding, security, and responsible AI standards
• Monitor AI performance (quality, cost, latency) and optimize continuously
• Communicate technical strategy to stakeholders at all levels

Required Qualifications

• 3-7 years in software engineering or architecture
• 2+ years building and architecting AI/ML solutions end-to-end
• Strong Python (or similar) and experience with AI frameworks (OpenAI, LangChain, Semantic Kernel, etc.)
• Strong SQL and experience with Snowflake or similar data platforms
• Expertise in modern data architectures (warehouse, lakehouse, ETL/ELT)
• Deep understanding of LLMs, embeddings, vector search, and orchestration
• Strong enterprise architecture knowledge (cloud, security, integration, identity)
• Understanding of responsible AI principles (privacy, bias, security)

Preferred Qualifications

• Experience with Snowflake tools (Cortex AI, Snowpark, Dynamic Tables, etc.)
• Background in dbt, Azure Data Factory, Fivetran, or Airbyte
• Experience with Microsoft AI stack (Azure OpenAI, Fabric, Copilot Studio)
• Data architecture expertise (lakehouse, data mesh, MDM)Experience building agent-based or multi-step AI workflows
• Familiarity with LLMOps (evaluation, monitoring, CI/CD for AI)
• Relevant certifications (Azure Solutions Architect, SnowPro, AI Engineers
• Bachelor’s or Master’s in CS, Engineering, or related field

What You’ll Bring

• Strong systems thinking with a hands-on builder mindset
• Ability to move seamlessly between architecture, code, and data
• Pragmatic approach to delivering scalable AI solutions
• Focus on delivering real business value with trusted enterprise data

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www-uat.lhh.com/us/en/candidate-privacy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability