
Data Solution Architect
4 hours ago
Required Skills & Qualifications:
- 5+ years in a data engineering/data analyst oriented role with an additional 2+ years in data solution architect role
in a large scale enterprise data warehouse / lake initiative comprising data pipelines,
ETL processes in the context of Snowflake and AWS-based solutions. - Proven experience in technical leadership roles, with a focus on eliciting data architecture and building data products
as well as data pipeline solutions on Snowflake and/or AWS. - Masters communication of complex technical concepts and decisions effectively to non-technical stakeholders,
contributing to a shared understanding of the value and impact of data products. - Development of conceptual, logical and physical data solution architecture and design
- Applied Data vault 2.0 principles in design and architecture
- Proven experience in optimization and fine-tune of data pipelines for performance and scalability.
- Applied SQL, especially for data querying and manipulation
- Good hands-on knowledge in Python development
- DevOps Tools, CI/CD
- Data Ingestion & Systems Integration
- Coped with challenges of structured and unstructured data sources.
- Evidence of strong problem-solving and troubleshooting skills.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and levels of the organization.
- Evidence of strong problem-solving and troubleshooting skills.
- English C1
As the Data Solution Architect for Data Products and Data Pipeline solutions, you will be responsible for providing technical leadership and expertise in the data architecture, design and deployment of data products and data pipeline solutions built on Snowflake, AWS platforms essentially.
You will lead technical design and architecture work and evaluations. This to deliver scalable, reliable, and high-performance data solutions that drive business value.
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