Snowflake Data Architect | ELT & Cloud Analytics

SoftServe; United Kingdom; On-site; GBP 67,000 - 107,000; Full time

Job summary

SoftServe is seeking an experienced data platform engineer in the United Kingdom to design and implement scalable cloud-based data platforms using Snowflake and AWS. You will build ELT pipelines with dbt and SQL, define data models, and collaborate with stakeholders to translate business needs into robust analytics solutions.

The role requires strong SQL/Python skills, experience with Airflow or MWAA, and a solid understanding of modern data warehousing concepts.

Qualifications

• Proven experience designing modern data platforms and cloud-based data warehouse solutions.
• Strong hands-on experience with Snowflake, including data modeling, performance optimization, and analytics workloads.
• Experience designing and building ELT pipelines using dbt, SQL, and modern data engineering practices.
• Strong expertise with AWS services supporting modern data platforms.
• Proficiency in SQL and Python for data engineering and automation.
• Experience with orchestration tools such as Apache Airflow or MWAA.
• Understanding of data warehousing concepts, dimensional modeling, and modern data architecture patterns.
• Familiarity with CI/CD practices, data quality validation, and version control for data engineering workflows.
• Upper-intermediate or higher level of English.

Responsibilities

• Design and support implementation of scalable data platforms and analytics solutions using Snowflake and AWS services.
• Design, develop, and optimize ELT pipelines and data transformation workflows using dbt and SQL.
• Define data models, data warehouse architectures, and source-to-target mappings to support analytics and reporting workloads.
• Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions.
• Support data ingestion, transformation, and orchestration processes across cloud-based data platforms.
• Participate in architecture discussions and contribute to data platform evolution, performance optimization, and engineering best practices.
• Ensure data quality, governance, and maintainability through automated testing, documentation, and CI/CD practices.
• Create and maintain architecture documentation, data models, and technical design artifacts.
• Participate throughout the full project lifecycle, from discovery and PoCs to production implementation.

Skills

Snowflake (data warehousing)

dbt (ELT)

SQL

Python

Airflow / MWAA

AWS

Data modeling

CI/CD practices

English communication

Tools

Snowflake

dbt

SQL

Python

Airflow

MWAA

AWS

CI/CD

Job description

SoftServe is seeking an experienced data platform engineer in the United Kingdom to design and implement scalable cloud-based data platforms using Snowflake and AWS. You will build ELT pipelines with dbt and SQL, define data models, and collaborate with stakeholders to translate business needs into robust analytics solutions.

The role requires strong SQL/Python skills, experience with Airflow or MWAA, and a solid understanding of modern data warehousing concepts.