Senior Data Architect - Cloud Data & AI Solutions

Inspire11 Ranks No. 110 on Inc; Chicago (IL); On-site; USD 131,000 - 178,500; Full time

Benefits offered by this job

Medical, Dental, and Vision insurance

401(k) plan with 100% match up to 3%

Paid time off and paid parental leave

Job summary

Inspire11 is seeking a Data Architect to design the technical backbone of clients' data ecosystems, enabling scalable analytics and AI solutions. You will lead the architecture of modern data platforms, develop end-to-end ELT/ETL pipelines using SQL and Python, and ensure data privacy and compliance.

This position offers a competitive salary range of $131,000 – $178,500 USD and includes excellent benefits such as medical insurance, a 401(k) plan, and paid parental leave.

Qualifications

• 8+ years in data architecture, data engineering, or enterprise cloud platform design.
• Advanced proficiency in SQL and Python.
• Deep familiarity with cloud data platforms.

Responsibilities

• Design and implement cloud-native data architectures across AWS, Azure, and GCP.
• Lead the architecture of end-to-end ELT/ETL pipelines using SQL and Python.
• Build and optimize enterprise data platforms, including data lakes and warehouses.

Skills

Data modeling (relational, dimensional/star schema)

SQL

Python

Cloud data platforms (Fabric, Snowflake, Databricks, Redshift, Synapse, BigQuery)

DevOps and infrastructure-as-code

AI/ML knowledge

Excellent communication skills

Leadership in technical strategy and solution design

Job description

Inspire11 is seeking a Data Architect to design the technical backbone of clients' data ecosystems, enabling scalable analytics and AI solutions. You will lead the architecture of modern data platforms, develop end-to-end ELT/ETL pipelines using SQL and Python, and ensure data privacy and compliance.

This position offers a competitive salary range of $131,000 – $178,500 USD and includes excellent benefits such as medical insurance, a 401(k) plan, and paid parental leave.