- Company Name
- TripleLift
- Job Title
- Manager, Data Engineering
- Job Description
-
**Job title**
Manager, Data Engineering
**Role Summary**
Lead, mentor, and scale a geographically distributed data engineering team that builds and maintains scalable, low‑latency data pipelines and platforms powering a high‑volume ad‑tech exchange. Collaborate cross‑functionally with Product, Engineering, Data Science, and Commercial teams to deliver reliable, cost‑effective data infrastructure.
**Expectations**
- Manage and grow a high‑performing team of data engineers (7+ years total experience, 3+ years in a leadership role).
- Own end‑to‑end design, implementation, and maintenance of data pipelines that ingest and process hundreds of billions of daily events.
- Drive data platform strategy across cloud, lake, warehouse, and real‑time analytics technologies.
- Ensure best practices, Agile delivery, and strong cost, quality, security, and compliance controls.
**Key Responsibilities**
- Recruit, hire, mentor, and develop geo‑distributed data engineers.
- Define and enforce engineering standards, architecture, and operational processes.
- Design and implement scalable data pipelines using Spark/Databricks, Airflow, Druid, and other orchestration tools.
- Manage data lakes (S3), data warehouses (Snowflake), and real‑time analytics platforms.
- Translate business requirements into technical solutions, prioritise work, and communicate status to senior leadership.
- Optimize infrastructure costs, monitor data quality, enforce security/compliance policies.
- Stay current on emerging data tools and advocate continuous improvement and innovation within the Data org.
**Required Skills**
- Deep expertise in cloud platforms (AWS, GCP) and data processing services.
- Hands‑on experience with Spark/Databricks, Snowflake, Airflow, Druid, and distributed storage systems.
- Strong experience in building high‑throughput, low‑latency data pipelines.
- Project management proficiency with JIRA and Agile methodologies.
- Excellent communication and stakeholder management across Product, Engineering, and Commercial teams.
- Ability to lead a distributed team, mentor engineers, and scale hiring initiatives.
- Knowledge of AdTech or real‑time event streaming beneficial.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- Relevant certifications (e.g., AWS Certified Solutions Architect, GCP Professional Data Engineer, SnowPro Certified) preferred but not mandatory.