Description We are seeking a skilled and dynamic Data Architecture Specialist to join our team, playing a pivotal role in architecting data solutions that drive insights and support business objectives. This role requires expertise in DBT (Data Build Tool), Snowflake, and proficiency in either Boomi or Fortran. The ideal candidate will excel in understanding data pipelines, setting up datasets, and transforming data to meet business needs, with a focus on optimizing Snowflake tables for efficient Tableau reporting.
Responsibilities:
DBT Expertise:
Utilize in-depth knowledge of DBT to design, develop, and maintain data transformation pipelines.
Collaborate with cross-functional teams to implement best practices in data modeling and version control using DBT.
Data Pipeline Management:
Understand and optimize end-to-end data pipelines, ensuring efficient data flow from source systems to final destinations.
Work closely with teams to identify bottlenecks, optimize performance, and ensure data integrity.
Snowflake Architecture:
Architect and build Snowflake tables, optimizing structures for performance and scalability.
Collaborate with business and technical teams to understand requirements and design Snowflake solutions that meet business needs.
Integration with Boomi or Fortran:
Integrate data workflows with either Boomi or Fortran to enhance data connectivity and interoperability.
Ensure seamless data exchange between different systems and applications.
Business Collaboration:
Engage with business stakeholders to gather requirements and understand data needs.
Translate business requirements into technical specifications and implement data solutions accordingly.
Must-Haves:
DBT Expertise:
Proven experience with Data Build Tool (DBT), demonstrating the ability to model data effectively and manage transformations.
Integration with Boomi or Fortran:
Proficiency in either Boomi or Fortran for seamless integration and data connectivity.
Snowflake Proficiency:
Strong experience in architecting and building tables in Snowflake, optimizing for performance and efficiency.
Requirements Qualifications:
- Bachelor's degree in a relevant field such as Computer Science, Information Technology, or Data Engineering.
- Several years of hands-on experience in data architecture, with a focus on DBT, Snowflake, and either Boomi or Fortran.
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Excellent problem-solving skills and the ability to optimize data structures for reporting efficiency.
Preferred Skills:
- Familiarity with Tableau and optimizing data structures for Tableau reporting.
- Experience in cloud platforms such as AWS, Azure, or Google Cloud.
- Certifications in DBT, Snowflake, or relevant technologies.
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