remoteonsite
Engineering Manager - Data Platform - Two Circles
Engineering Manager
Lead a high‑performing data platform team, driving design, development, and operation of scalable data pipelines and analytics solutions using Python, Spark, SQL, and AWS services.
About the role
Key Responsibilities
- Own the end‑to‑end data platform roadmap, ensuring reliability, scalability, and performance for real‑time and batch processing.
- Lead, mentor, and grow a cross‑functional engineering team, fostering an Agile culture and best‑in‑class engineering practices.
- Architect and implement data pipelines using Python, Apache Spark, and SQL on AWS (e.g., Redshift, S3, Glue) to ingest, transform, and serve fan‑behavior data.
- Collaborate with product, analytics, and data science stakeholders to translate business requirements into robust data models and APIs.
- Establish monitoring, alerting, and governance frameworks to maintain data quality, security, and compliance.
Requirements
- 5+ years of hands‑on experience building large‑scale data platforms, with deep expertise in Python, SQL, and Spark.
- Proven track record managing and scaling engineering teams in a fast‑moving, data‑driven environment.
- Strong knowledge of AWS data services (Redshift, S3, Glue, Lambda) and modern data warehousing concepts.
- Experience designing data models and pipelines for analytics and machine‑learning workloads.
- Excellent communication and stakeholder management skills, with a focus on delivering business impact.
Skills
pythonsqlapache sparkaws