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Reporting to our Director of Data and Analytics, we are looking for a Sr. Analytics Engineer to architect and implement our internal data infrastructure. This is a hybrid role combining hands-on engineering with strategic architectural planning. You'll work closely with our data team and customer departments to design scalable data systems while ensuring high-quality, consistent, and readily available data across our organization. Our ideal candidate is someone who has deep experience with SaaS data structures and can both design strategic architecture and implement tactical solutions. You'll be responsible for creating the blueprint for our data infrastructure as we scale, while also building the foundational components. You're excited by the idea of taking Tines from startup mode to a robust, data-driven organization with enterprise-grade data architecture. You are more interested in solving complex problems than finding complex solutions, and can unblock yourself efficiently when you hit roadblocks or unexpected challenges.
Job Responsibility:
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
Please note we can only consider applicants who are entitled to work permanently in Ireland for this position.
Nice to have:
Experience scaling startup data systems to enterprise level
Enterprise architecture experience or certification
Experience with real-time data processing and streaming
Background in data security framework implementation
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