8 months ago
Warsaw, PolandSenior
Responsibilities
- Lead the architecture and development of scalable, high-performance data pipelines and infrastructure.
- Design, build, maintain, and version high-scale production datasets and customer-facing reports.
- Manage data feature lifecycles, schema evolution, safe rollouts, backfills, and reprocessing.
- Optimize data ingestion, transformation, storage, performance, reliability, security, and infrastructure costs.
- Lead production incident response, root-cause investigations, permanent fixes, and data recovery validation.
- Improve monitoring and observability for data processes and system reliability.
- Collaborate with Data Science, Analytics, and Product teams on production-ready data solutions.
- Mentor engineers and guide technical policies, practices, and ideas.
Requirements
- Typically 8+ years of related experience with a bachelor’s degree, or 6 years with a master’s degree, or 3 years with a PhD.
- Advanced knowledge of Python and distributed data processing frameworks such as Apache Spark or PySpark.
- Expertise in Apache Airflow and Databricks.
- Extensive experience with cloud-based data infrastructure on AWS or GCP and modern data lake architectures.
- Strong knowledge of data modeling, database design, and query optimization for relational and non-relational databases.
- Proven experience applying code quality, testing, and software design best practices in data engineering.
- Ability to communicate effectively, adapt communication style, and persuade stakeholders on business-related matters.
Tech Stack
Categories
Data Engineering
About Samba
Samba builds a media intelligence and advertising platform that uses TV ACR data and cross‑platform signals to power audience measurement, targeting, and optimization for brands, agencies, and media companies. Its products support Connected TV, OTT, and digital campaigns with deterministic ad detection and addressable TV capabilities. Founded in 2018 and headquartered in San Francisco, the privately held company sells data and analytics services to help marketers plan, activate, and measure campaigns across screens.