Principal managing analytics engineering projects for private equity, leveraging AI technology. Leading cross - functional teams and contributing to business development in a hybrid work environment.
About the role
- 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.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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