Hybrid Senior Data – Analytics Engineer

Posted last month

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About the role

  • 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.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements

Job title

Senior Data – Analytics Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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