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SeniorFull-timePythonAWSGCPTerraformData ScienceAIML
Salary Range
$99,450 - $134,550 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Engineer to join Synthesia and take ownership of our core data systems. This role focuses on designing and maintaining scalable data pipelines and ensuring high data quality and governance standards.
Key Responsibilities
- →Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse.
- →Own the evolution of our dbt project, implementing modular modelling patterns and best practices to ensure a single source of truth for the organization.
- →Manage platform infrastructure in Snowflake, AWS, and other tools.
- →Continuously optimize warehouse performance and cost by diagnosing bottlenecks and tuning inefficient queries.
- →Bridge the gap between experimental data science workflows and production, building infrastructure for batch ML jobs.
- →Drive best practices in data security, governance, and compliance, particularly with AI.
- →Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions.
Requirements
- ✓5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems.
- ✓Experience working in an early-stage or scaling data function, comfortable taking ownership and wearing multiple hats.
- ✓Strong foundations in software engineering and data modelling best practices, with an ability to design maintainable, scalable systems.
- ✓Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow).
- ✓Hands-on experience managing cloud infrastructure using infrastructure-as-code (e.g., Terraform) on AWS, GCP, or similar platforms.
- ✓A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability.
- ✓Excellent communication skills, able to work effectively with technical and non-technical stakeholders.
- ✓A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.
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