At a Glance
- Tasks: Design and implement scalable cloud-based data platforms using Snowflake and AWS.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Make an impact by building modern analytics ecosystems and optimising data solutions.
- Qualifications: Experience with Snowflake, SQL, and data engineering practices required.
The predicted salary is between 63000 - 77000 Β£ per year.
In this role, you will contribute to designing and implementing scalable cloud-based data platforms with a strong focus on Snowflake and modern ELT architectures. You will collaborate with technical and business stakeholders to design reliable data solutions, optimize data platforms, and support organizations in building modern analytics ecosystems within AWS environments. You will participate throughout the full project lifecycle, from solution design and proof of concepts to production implementation.
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
REQUIREMENTS
- 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
Data Architect (Snowflake) employer: SoftServe
As a leading player in the financial services sector, our company offers an exceptional work environment for the FSI Solutions Consultant role, particularly within the innovative landscape of a Greenfield Cloud-native Bank Development programme. We pride ourselves on fostering a collaborative culture that encourages professional growth and development, providing employees with opportunities to enhance their skills while working alongside industry experts. Located in a vibrant area, we also offer competitive benefits and a commitment to maintaining a healthy work-life balance, making us an attractive employer for those seeking meaningful and rewarding careers in banking.