TL
$220,000 – $240,000
Listed on Tubular Labs’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior data engineering leader at a media analytics company, responsible for designing cross-division data architecture, driving AI infrastructure strategy, and mentoring a distributed team. This suits experienced data architects and pipeline specialists who want influence over platform decisions and enjoy working across multiple product lines.
Our summary, not Tubular Labs’s wording. The full posting is on their site.
Skills this role names
- Apache Airflow
- Apache Kafka
- Data Architecture
- Google BigQuery
- Kubernetes
- LLMs (Large Language Models)
- Python
- Snowflake
- SPARK
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What they ask for
Required
- 8+ years in data engineering or related field
- Design large-scale data systems across multi-product environments
- Proficiency with cloud data warehouse (Snowflake, BigQuery, or equivalent)
- Build and maintain data pipelines at scale (streaming and batch)
- Integrate AI/ML capabilities including LLMs into data systems
- Strong Python and data architecture skills
- Translate complex architectural decisions for technical and non-technical audiences
- Track record mentoring engineers and leading technically
Nice to have
- Kubernetes or containerized infrastructure experience