Job Description
We are seeking a Senior Data Engineer with AI/GenAI expertise to join the Data Platform (Foundry) team. This role will focus on building and optimizing enterprise-scale data pipelines while also enabling metadata-driven, AI-driven use cases, including copilots, LLM integrations, and intelligent data workflows using Databricks, Azure, ADF, Azure SQL, Astronomer/Airflow or Control M.
Key Responsibilities
Design, build, and maintain data pipelines using Databricks, Spark, ADF, Advanced SQL/Python, and Azure services
Develop and optimize bronze → silver → gold transformations
Schedule and orchestrate via ADF, Airflow, Control M. Airflow experience would be a huge plus
Enable AI/GenAI use cases across the platform, including:
Copilot integrations
LLM-based workflows
Intelligent data enrichment pipelines
Work with Databricks GenAI capabilities .
Integrate external AI platforms (e.g., Anthropic, Azure OpenAI) into enterprise data workflows
Ensure data reliability, performance, and operational stability
Troubleshoot and resolve production issues with strong SLAs
Support ingestion using tools such as:
Fivetran / ADF / Auto Loader
Implement data quality, monitoring, and reconciliation frameworks
Ability to read/write code in SQL, Python, other
Collaborate across:
Data Engineering teams
Data Platform engineering
Business stakeholders
Contribute to platform modernization and AI adoption strategy
Follow governance best practices:
Code quality
Deployment controls
Audit and compliance
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
8–10+ years in Data Engineering
Strong experience with:
Databricks (Delta Lake, Spark)
Azure Data Platform - ADF, Synapse
SQL - Azure SQL, SQL Server, Teradata, DB2, Oracle
Hands-on experience with AI/GenAI technologies, including:
Building or integrating copilot-style experiences
Working with LLMs (e.g., Anthropic Claude, OpenAI models)
Strong programming skills:
Python, SQL
Orchestration using — Airflow or Astronomer, Control M. Preferably Airflow
Experience building scalable ETL/ELT pipelines
Familiarity with production support and incident management
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.