Senior Data / Analytics Engineer at Tines architecting and implementing data infrastructure. Design scalable data systems while ensuring high-quality data across the organization.
Responsibilities
Design and implement scalable data architecture as Tines grows
Establish and maintain data modeling standards and best practices
Build and manage ETL processes across diverse data sources
Develop core data models in DBT with a focus on efficiency and reusability
Own our Snowflake implementation and Omni data layer
Drive data governance and security best practices
Create clear, maintainable documentation
Ensure reliable, high-performance data systems
Partner with stakeholders to translate business needs into technical solutions, including presenting solutions to leadership
Requirements
5-7 years experience in data engineering with significant architectural experience
Proven track record building data architecture in B2B SaaS, particularly with Salesforce/CRM data
Deep expertise with modern data stack (Snowflake, DBT, AWS and BI tools - we use Omni)
Strong background in data modeling and system design
Experience implementing B2B SaaS metrics and GTM reporting
Demonstrated ability to translate business requirements into technical solutions
AWS experience, particularly with data services and S3
Understanding of data governance and security principles
Balance of strategic thinking and hands-on implementation skills
Able to tailor communication (written and oral) appropriately to different audiences, technical/non-technical, of different seniority.
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