Data Architect Associate: Cloud & Big Data

imh; Audubon (GA); On-site; USD 50,000 - 79,000; Full time

Benefits offered by this job

Benefits package

Job summary

Intermountain Health is seeking a Data Architect - Associate to design, implement, and maintain data infrastructures across on‑premise and cloud environments. You will build scalable data models, pipelines, and warehouses using SQL, Python, PySpark, and related technologies while collaborating with teams to align data solutions with business goals.

In this entry‑level role, you will be mentored by senior data architects/engineers on moderate to complex projects, focusing on data quality,

Qualifications

• Proficiency with SQL and RDBMS (Oracle, SQL Server, Postgres, Snowflake, Databricks).
• Introductory experience with AWS/Azure/GCP for data architecture and storage solutions.
• Familiarity with Python and PySpark for data engineering tasks.
• Foundational knowledge of ETL/ELT processes and tools (SSIS, Informatica, Azure Data Factory, Databricks).
• Python or PySpark or R programming proficiency.

Responsibilities

• Design, implement, and maintain data infrastructures (traditional and modern).
• Develop strategies to integrate enterprise data, ensure quality, and optimize access across cloud/on‑prem systems.
• Work on moderate to complex projects with mentorship from senior data architects/engineers.
• Deliver robust data models, pipelines, and warehouses using SQL, Python, PySpark, and RDBMS platforms.

Skills

Data architecture

Cloud infrastructure

ETL/ELT

Database optimization

Data modeling

Coding

Data governance

Stakeholder management

Project leadership

Education

Bachelor's degree in CS/DS/Engineering

Tools

Databricks

Apache Spark

Delta Lake

Kafka

AWS Kinesis

Azure Event Hubs

Job description

Intermountain Health is seeking a Data Architect - Associate to design, implement, and maintain data infrastructures across on‑premise and cloud environments. You will build scalable data models, pipelines, and warehouses using SQL, Python, PySpark, and related technologies while collaborating with teams to align data solutions with business goals.

In this entry‑level role, you will be mentored by senior data architects/engineers on moderate to complex projects, focusing on data quality,