Senior Data Engineer (Data & AI)
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Key skills for this role
About the Role
SiFi is looking for a Senior Data Engineer to define and scale the foundation of their data platform. You will design and own the data platform, modeling standards, and AI-ready infrastructure, ensuring accurate and trusted metrics.
Key Skills for This Role
Responsibilities
- Define and maintain scalable data models in SQL
- Establish structured warehouse layers and modeling best practices
- Own KPI definitions and ensure a single source of truth
- Design and evolve cloud data warehouse in BigQuery
- Own transformation workflows using dbt, SQLMesh, or similar tools
- Optimize performance, reliability, and cost
- Design and support production grade AI/ML pipelines
- Ensure data quality, integrity, and observability
- Implement access controls aligned with compliance requirements
- Translate business requirements into robust data systems
Requirements
- 5+ years of experience in Data Engineering or Analytics Engineering
- Strong SQL expertise with hands on data modeling experience
- Experience with cloud data warehouses such as BigQuery
- Experience with modern transformation frameworks such as dbt or SQLMesh
- Ability to operate independently in a fast moving startup
- End to end ownership of complex problems
Full Job Posting
About the Role
- We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi’s data platform.
- You will be part of the Data & AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance.
- This is a high ownership role focused on building financial data infrastructure from first principles.
What You Will Own
- Data Modeling and Standards: Define and maintain scalable data models in SQL; Establish structured warehouse layers and modeling best practices; Own KPI definitions and ensure a single source of truth; Ensure financial correctness and metric consistency
- Warehouse Architecture: Design and evolve our cloud data warehouse in BigQuery; Own transformation workflows using dbt, SQLMesh, or similar tools; Optimize performance, reliability, and cost; Design and support production grade AI/ML pipelines
- Reliability and Governance: Ensure data quality, integrity, and observability; Implement access controls aligned with compliance requirements; Build a scalable foundation ready for advanced analytics and AI
- Cross Functional Impact: Translate business requirements into robust data systems; Enable trusted reporting and BI across teams; Support experimentation and AI driven initiatives with well structured datasets
What We Are Looking For
- 5+ years of experience in Data Engineering or Analytics Engineering
- Strong SQL expertise with hands on data modeling experience
- Experience with cloud data warehouses such as BigQuery
- Experience with modern transformation frameworks such as dbt or SQLMesh
- Experience building or supporting production grade AI/ML pipelines is a strong plus
- Ability to operate independently in a fast moving startup
- Operates with high agency, taking end to end ownership of complex problems and delivering outcomes
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