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Data Architect (Snowflake & DBT) - Chicago, IL

Lorven Technologies, Inc.

Hybrid in Chicago, Illinois • Today

Easy Apply

Contract, Third Party

$65 - $70

Job Details

Skills

Data Architect
Snowflake
DBT

Summary

Job Title: Data Architect (Snowflake & DBT)

Location: Chicago, IL

About the Role:

We are seeking a skilled Data Architect with deep expertise in cloud data warehousing, particularly with Snowflake, and experience building robust data transformation pipelines using DBT (Data Build Tool).
The ideal candidate will design scalable data architectures, implement best practices for data modelling, and collaborate with cross-functional teams to ensure data quality, accessibility, and security.

Key Responsibilities:

Architect and implement scalable, high-performance data solutions using Snowflake and the cloud (AWS/Azure/Google Cloud Platform).
Design and maintain data models (star/snowflake schemas, data vault, etc.) and data pipelines leveraging DBT.
Develop, optimize, and document ELT/ETL workflows, ensuring adherence to best practices in data transformation and governance.
Collaborate with Data Engineers, Analysts, and Business Stakeholders to gather requirements and deliver end-to-end data solutions.
Establish and enforce data quality, integrity, and security standards.
Monitor and optimize Snowflake performance, costs, and resource utilization.
Advise on data architecture strategy, new tools, and process improvements.
Mentor and guide junior data engineers and analysts on data modelling, transformation, and Snowflake/DBT best practices.
Stay updated on emerging trends in cloud data warehousing, data modelling, and analytics.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
12+ years of overall work experience and 5+ years of experience in data architecture, data engineering, or similar roles.
Strong hands-on expertise in Snowflake (data warehouse design, query optimization, security, data sharing, etc.).
Proficient in DBT (developing models, tests, documentation, deployment, etc.).
Solid experience with ELT/ETL solutions and orchestration tools (e.g., Airflow, Prefect).
Proficient in SQL; experience with Python is a plus.
Experience with BI/reporting tools (e.g., Looker, Tableau, Power BI) is a plus.
Strong understanding of data modeling techniques and best practices for analytics.
Excellent communication and collaboration skills.

Preferred Qualifications:

Experience with additional cloud data platforms (e.g., Big Query, Redshift).
Familiar with data governance, security, and compliance frameworks.
Exposure to CI/CD tools and practices for data pipelines.
Experience in Agile/Scrum environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10120137
Position Id: 71593-10367-1789753438
Posted 5 hours ago

Fitment

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Job Details

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Data Architect
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DBT

Summary

Job Title: Data Architect (Snowflake & DBT)

Location: Chicago, IL

About the Role:

We are seeking a skilled Data Architect with deep expertise in cloud data warehousing, particularly with Snowflake, and experience building robust data transformation pipelines using DBT (Data Build Tool).
The ideal candidate will design scalable data architectures, implement best practices for data modelling, and collaborate with cross-functional teams to ensure data quality, accessibility, and security.

Key Responsibilities:

Architect and implement scalable, high-performance data solutions using Snowflake and the cloud (AWS/Azure/Google Cloud Platform).
Design and maintain data models (star/snowflake schemas, data vault, etc.) and data pipelines leveraging DBT.
Develop, optimize, and document ELT/ETL workflows, ensuring adherence to best practices in data transformation and governance.
Collaborate with Data Engineers, Analysts, and Business Stakeholders to gather requirements and deliver end-to-end data solutions.
Establish and enforce data quality, integrity, and security standards.
Monitor and optimize Snowflake performance, costs, and resource utilization.
Advise on data architecture strategy, new tools, and process improvements.
Mentor and guide junior data engineers and analysts on data modelling, transformation, and Snowflake/DBT best practices.
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Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
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Solid experience with ELT/ETL solutions and orchestration tools (e.g., Airflow, Prefect).
Proficient in SQL; experience with Python is a plus.
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Strong understanding of data modeling techniques and best practices for analytics.
Excellent communication and collaboration skills.

Preferred Qualifications:

Experience with additional cloud data platforms (e.g., Big Query, Redshift).
Familiar with data governance, security, and compliance frameworks.
Exposure to CI/CD tools and practices for data pipelines.
Experience in Agile/Scrum environments.

Dice Id: 10120137
Position Id: 71593-10367-1789753438
Posted 5 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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