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/.

Skills and Requirements

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