Snowflake Test Data Architect - DBT Specialist (Hybrid)

Cognizant; Stockholms kommun; Hybrid; SEK 700,000 - 1,000,000; Full time

Job summary

Cognizant is seeking a Test Data Architect / Snowflake Solution Architect in Stockholm to design scalable test data solutions using Snowflake and DBT across hybrid environments. You will define reusable data patterns and governance to support complex asset management and application testing.

You will optimize data models, implement modular DBT projects, automate test data provisioning, and collaborate with QA and development teams to ensure data quality and performance in non-production

Qualifications

• Hands-on experience with Snowflake tasks, data modeling and performance tuning for test data.
• Proficiency with DBT core and cloud, modular projects and reusable macros.
• Understanding of data warehousing concepts: dimensional modeling, incremental loads and data quality.
• Ability to translate asset management processes into realistic test datasets.

Responsibilities

• Design robust test data architecture using Snowflake and DBT for scalable provisioning.
• Develop and maintain DBT projects with modular models and reusable macros.
• Automate test data refresh cycles and synchronize datasets across environments.
• Implement data quality checks and reconciliation within DBT models and Snowflake.
• Collaborate with QA, development, and operations across time zones.
• Document end-to-end test data architecture and environment configurations.

Skills

Snowflake

DBT core

DBT cloud

Data warehousing

Dimensional modeling

Incremental loads

Data quality

Test data governance

Problem solving

Asset management domain

Tools

Snowflake

DBT

Job description

Cognizant is seeking a Test Data Architect / Snowflake Solution Architect in Stockholm to design scalable test data solutions using Snowflake and DBT across hybrid environments. You will define reusable data patterns and governance to support complex asset management and application testing.

You will optimize data models, implement modular DBT projects, automate test data provisioning, and collaborate with QA and development teams to ensure data quality and performance in non-production