Sr. Data Platform Engineer

Job Description

Insight Global is seeking a Sr. Data Platform Engineer for a leading healthcare organization. This individual will architect and build modern cloud-based data platforms leveraging Snowflake, AI/GenAI technologies, and advanced analytics capabilities. The ideal candidate will have a strong blend of data engineering, cloud architecture, and AI expertise while helping the organization scale enterprise data solutions that power analytics, automation, and intelligent business decision-making.

Day-to-Day:

• Design and optimize enterprise Snowflake data platforms

• Build scalable ELT/ETL pipelines using Snowflake, dbt, Airflow, and Python

• Develop semantic layers and data models for analytics teams

• Implement AI/GenAI solutions leveraging Snowflake Cortex tools

• Enable document intelligence and unstructured data processing capabilities

• Drive governance, security, compliance, and automation initiatives

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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 8+ years of Data Engineering or Cloud Data Architecture experience

• 5+ years of hands-on Snowflake experience

• Strong SQL and Snowflake performance tuning expertise

• Experience with dbt and Python development

• Cloud platform experience (AWS, Azure, or GCP)

• Healthcare data experience (EMR, claims, provider, patient datasets)

• Experience with Snowflake Cortex, AI, and GenAI solutions • Kafka or Kinesis streaming experience

• Machine learning deployment experience

• Data governance and metadata management expertise