Snowflake Data Architect
Job Summary
CloserHire is partnering with a leading global professional services company to recruit a Snowflake Data Architect for its Cloud Services team in Sofia Bulgaria. This is an outstanding opportunity to join an international team delivering large-scale data transformation programs for the banking and financial services sector. Youll play a key role in designing enterprise-grade cloud data platforms enabling regulatory compliance modern analytics and data-driven decision-making using cutting-edge cloud technologies.
Language required: English
Highlights:
- Hybrid position
- Private health insurance
- Career growth opportunities
Responsibilities:
- Design and implement centralized Snowflake data platforms with standardized data models and reusable data products
- Architect end-to-end data pipelines using modern cloud data architectures including
- Bronze
- Silver and Gold layers
- Develop scalable high-performance and cost-efficient Snowflake solutions
- Integrate data quality metadata and data lineage into enterprise platform designs
- Lead reporting transformation initiatives including legacy system migrations and modern analytics enablement
- Manage business requirements data dependencies and solution delivery throughout transformation programs
- Coordinate testing defect resolution business acceptance go-live readiness and post-implementation support
- Define and implement data quality controls KPIs monitoring and governance standards
- Design reusable data integration services using batch streaming APIs and event-driven architectures
- Ensure secure reliable and auditable data pipelines with robust monitoring and operational support
Qualifications:
- Fluent English
- Proven experience as a Data
- Architect within the banking or financial services sector
- Strong expertise in Snowflake and cloud data architectures (AWS Azure or GCP)
- Experience delivering regulatory data transformation and reporting initiatives including BCBS 239
- Strong background in enterprise data modeling including Data Vault and domain-driven design Hands-on experience with modern ELT/ETL technologies such as dbt Azure Data Factory or Databricks
- Experience with data integration technologies including APIs Kafka and batch processing
- Strong understanding of data governance metadata management data quality and lineage frameworks
- Familiarity with CI/CD and DevOps practices for cloud data platforms
- Excellent stakeholder management communication and coordination skills within Agile delivery environments
- Experience with financial data models and enterprise reporting transformation programs is highly desirable