Data Solutions Architect
4 weeks ago
JobRialto is seeking a highly skilled Data Solutions Architect responsible for designing and developing robust data solutions. This role will involve building data load pipelines using Python, Kafka, and Snowflake, ensuring non-functional requirements are met. The ideal candidate will work closely with cross-functional teams to meet both business and IT needs while adhering to industry best practices.
Key Responsibilities:
- Design and develop data load solutions using Python, Kafka, and other data integration methodologies.
- Implement data loads using Snowflake SQLs and stored procedures.
- Collaborate with business partners and product analysts to translate business needs into technical solutions.
- Develop, test, and deploy high-quality, scalable data models and components.
- Ensure non-functional requirements, such as security, scalability, and reliability, are accounted for during development.
- Work closely with architects and designers to create optimal data frameworks.
- Maintain coding standards, perform unit testing, and resolve platform production issues.
- Identify and troubleshoot environmental issues in development and production environments.
- Expertise in Python, Snowflake, and Apache Kafka.
- 5+ years of experience in data warehousing, ETL tools, and data modeling.
- Strong understanding of the software development lifecycle and Agile methodologies.
- Experience working with secure data development processes.
- Analytical and problem-solving mindset.
- Strong communication and collaboration skills with the ability to work in an onsite-offshore setup.
- Experience in resolving platform production issues efficiently.
- Familiarity with additional data tools and methodologies beyond core ETL tools.
- Experience designing secure and scalable data models in cloud environments.
- Ability to adapt quickly to changing environments and requirements.
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