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Chief Data Pipeline Architect
3 weeks ago
We are seeking a skilled Data Engineer to develop and maintain robust data pipelines and infrastructure for analytics, machine learning, and reporting platforms.
About the RoleThis position involves owning the development and maintenance of data pipelines and data infrastructure to support business needs. The successful candidate will use SQL and Python to design and implement the data platform on cloud-based services and collaborate with cross-functional teams to ensure data availability and accuracy.
Key Responsibilities- Design and implement efficient data pipelines to collect, process, and store large volumes of data from various sources.
- Maintain and operate the data platform using Airflow, dbt, Dataflow, ClickHouse, and BigQuery.
- Achieve defined data availability and quality KPIs.
- Implement data governance and security measures to ensure compliance with regulations and best practices.
- Troubleshoot data-related issues, perform root-cause analysis, and implement preventive measures.
- Support machine learning engineers to create real-time and batch data pipelines that fit data specifications and ML inference needs.
- Support analytics engineers to build data models and metrics for product performance.
- Bachelor's degree in Computer Science or a related field.
- Minimum 3 years of experience as a data engineer.
- Strong proficiency with cloud data warehouses such as BigQuery, ClickHouse, Snowflake, or similar.
- Proficient SQL and Python coding skills to deliver reliable data engineering solutions.
- Experience developing Airflow or other open-source data orchestration tools and operating them in production.
- Experience building AI agents is a plus.
- Flexible work environment with remote days and office days.
- Employee stock options.
- Opportunity to work with passionate colleagues and participate in social impact programs.
We promote diversity and inclusivity and do not tolerate discrimination or harassment based on protected status.