Sr. Azure Data Engineer with AI - Seattle WA (Onsite) - Full time

Role: Senior Azure Data Engineer With AI

Location: Seattle WA (Onsite)

Role Overview

You will serve as a primary bridge between the firm s Data & Analytics team and the broader organization translating business needs into reliable, usable analytics and AI-powered solutions. Success in this role depends as much on listening, communication, and judgment as on technical skill.

The Team Is At An Inflection Point

• Transitioning from traditional BI toward a purpose-built AI ecosystem
• Undergoing a major ERP replacement
• Scaling analytics capabilities to meet growing firm-wide demand
• This is a hands-on engineering role. You will write code, architect systems, configure cloud infrastructure, and deploy production AI applications. This role offers genuine influence over how data and AI are designed, governed, and used across the firm.
  
  

Required Qualifications

Experience & Education:

• Bachelor s degree in Data Science, Information Systems, Computer Science, Business Analytics, or equivalent experience
• 5 8 years of experience in data analytics, analytics engineering, business intelligence, or related roles with increasing scope and ownership
  
  

Technical Skills

• Advanced SQL skills, including query optimization and data modeling
• Proficient Python developer: ETL/ELT pipelines, REST API backends, automation, and AI application development; experience with pandas, SQLAlchemy, FastAPI, and LangChain or similar
• Hands-on Power BI experience (data modeling, DAX, deployment, and maintenance)
• Experience architecting and building multi-system API integrations, including authentication flows (OAuth 2.0 / SSO/SAML) and webhook patterns
• Hands-on Git-based development workflows: branching, code review, CI/CD pipelines, testing, and production deployment
• Experience designing and implementing data lake or lakehouse architectures using structured and unstructured data sources (e.g., Delta Lake, Azure Data Lake Storage, S3, or equivalent)
• Hands-on cloud deployment experience (Azure preferred, AWS, Snowflake, Databricks): compute, storage, managed databases, container services, and identity/access management
• Experience working with messy, real-world data and legacy systems
  
  

AI & LLM Engineering

• Hands-on experience building and deploying LLM applications: RAG pipelines, vector store management (Pinecone, pgvector, or Weaviate), embedding workflows, and API integration using Anthropic, OpenAI, or Azure OpenAI SDKs
• Experience implementing AI evaluation frameworks (e.g., LangSmith, Arize, or custom evals) to monitor model outputs, detect drift, and enforce output quality in production
• Experience deploying AI applications to cloud infrastructure (Azure, AWS, or GCP), including containerization (Docker), serverless functions, and SSO/identity integration for enterprise tool rollout
• Nice to Have:
• Experience with ERP systems in professional services or project-based organizations
• Familiarity with data governance frameworks or formal data quality practices
• Experience working in AEC, design, or creative professional environments
• Background in internal training, enablement, or change management.
  
  

Tekhire Solutions is a world-class technology focused on customer-driven solutions and has a deep dive knowledge of client requirements. Tekhire is best in connecting a bridge between highly skilled workers and the Fortune 500. Always thrives to be up with the technology trends, Innovation and transforms our trusted clients with certified and enterprise solutions that makes difference in the business.