Our Client
Our client is a leader in the SaaS industry, specializing in software solutions for insurance companies. With 20 years of experience, they offer a comprehensive software package that supports key insurance processes such as policies, claims, reinsurance, and payments. Renowned for their cutting-edge solutions, they configure and tailor products to meet specific client needs.
Currently undergoing a large technological transformation and building a competence center in Warsaw, the company is moving towards a Cloud Native, multi-tenant platform to modernize its infrastructure. They are investing significantly in cloud services to create a scalable, efficient system to support ongoing growth.
Role Summary:
As a Data Warehouse Architect, you will play a vital role in designing, implementing, and managing scalable data architectures to support business objectives.
This role requires expertise in
along with experience in
You’ll work closely with data engineers and cross-functional teams, translating business requirements into data-driven solutions to enhance decision-making across the organization.
Key Responsibilities:
- Data Architecture: Develop and maintain scalable data architectures using: dbt, Fivetran, and PowerBI to meet business and analytics needs.
- Data Pipeline Management: Design, optimize, and manage data pipelines, ensuring efficient data flow and high-quality data integration across systems.
- Collaboration and Strategy: Work with data engineers, leadership, and stakeholders to translate complex business requirements into effective data models and architectures.
- Data Innovation: Continuously monitor and evaluate new data technologies to enhance the data infrastructure, ensuring the organization remains at the forefront of data innovation.
- Data Governance and Quality: Establish best practices for data quality and governance, ensuring data integrity across all stages of data processing.
Required Skills:
- Data Architecture Expertise: 6+ years of experience in data architecture, including at least 3 years in a supervisory or strategic leadership role.
- Technical Proficiency: 5+ years of hands-on experience and demonstrated expertise in data modeling, ETL processes and data warehousing.
- Data Tools: Proficiency with dbt, Fivetran, PowerBI and SQL with dbt.
- experience in Snowflake Data Platform is nice to have
- Data Governance Knowledge: Strong understanding of data governance, security, and compliance standards.
- Collaboration and Leadership: Proven experience as a lead developer, establishing best practices and mentoring team members.
Preferred Skills:
- Advanced degree or certifications in data management or architecture.
- Familiarity with Azure and Microsoft suite tools (Excel).
- Location: Remote, Poland
Salary range & Conditions
Barracuda
Acronis
Caylent
Macaw
Encora Inc.
