The business needs to scale its data infrastructure and products to support critical applications and insights, requiring a Senior Data Engineer to design, build, and maintain robust and scalable data solutions.
Requirements
- 3+ years of experience with Python
- 3+ years of experience with Snowflake (external/Iceberg Tables, materialized views, data shares and listings, integrations; data clean rooms a plus)
- 3+ years of experience with AWS cloud service management tools (IAM, CloudWatch, Secrets Manager, AWS CLI)
- Experience with modern data storage querying tools such as Lambda, S3, RabbitMQ, Athena, Spark, Hive, or similar
- Experience with processing/orchestration tools such as Apache Airflow, Azure Data Factory, Azure Synapse, or SSIS
- Non-trivial experience with RDBMSs such as Postgres, Microsoft SQL Server, MySQL, or Oracle
- Experience working with semi-structured data in JSON format
Responsibilities
- You will implement and maintain scalable, secure data architectures and pipelines.
- You will evaluate and integrate new technologies to enhance infrastructure and product capabilities.
- You will ensure observability and quick resolution of issues.
- You will propose architectural decisions aligned with strategic goals.
- You will support systems with high availability requirements.
- You will articulate technical details to both technical and non-technical audiences.
- You will collaborate with Product and Engineering team members.
Other
- This role goes beyond technical execution—you will lead by example, mentor junior engineers, and collaborate across departments to deliver high-impact solutions.
- You’ll design systems with long-term scalability in mind, proactively identify and resolve operational issues, and ensure our data platforms are secure, reliable, and aligned with business goals.
- You will work closely with Product and Engineering stakeholders to translate complex business needs into robust technical solutions.
- Your ability to communicate clearly, coordinate across teams, and drive agile delivery will be essential to your success.
- As a thought leader, you’ll contribute to the evolution of engineering best practices, evaluate and incorporate state-of-the-art tooling in our products, promote a culture of continuous learning, and help shape the future of our data capabilities.
