Data Platform Manager
On-site
Full Time
#Software Engineering
#Big Data
#Data
#Databricks
#Google Cloud
#Spark
#Python
#Scala
#SQL
#BigQuery
#Vertica
#Kafka
#Docker
We are DoubleVerify, a public big data analytics firm that processes tens of billions of advertisements daily for global leaders like Nike, AT&T, and Disney. Our technology ensures that digital ads across web, mobile, and CTV platforms are fraud-free, brand-safe, and viewable. Operating at a massive scale of over 100 billion events per day, we provide real-time insights that help the world’s largest brands optimize their advertising impact. We are currently looking for a Data Platform Manager to join our team in Israel on a full-time, on-site basis to help lead our transition to a modernized big data Lakehouse platform.
Responsibilities
- Lead, mentor, and grow a team of experienced data engineers while overseeing the development of our big data platform.
- Orchestrate the migration to a new Databricks-based Lakehouse on Google Cloud, managing challenges like massive-scale stream ingestion and enterprise-grade data governance.
- Collaborate with product management to define our data strategy, improve daily processing of terabytes of data, and establish best practices across our R&D organization.
Requirements
- At least 4 years of experience in both technical and people management, specifically leading platform, infrastructure, or data engineering teams within high-scale environments.
- Proficiency in Python, Scala, or Java with at least 4 years of hands-on development experience.
- Deep technical expertise in batch and streaming technologies, such as Kafka, Spark, or Flink.
- Proven experience working with public cloud providers like GCP, AWS, or Azure.
- Strong familiarity with SQL and NoSQL databases, alongside a passion for exploring and implementing cutting-edge big data tools.
- Excellent communication skills and a collaborative, leader-by-example mindset.
What we offer
As a member of our global team, you will have the opportunity to solve complex engineering challenges that impact the entire digital advertising industry. We foster a fast-paced, innovative environment where you can influence our technical direction using a wide array of modern tools, including GCP, Databricks, Spark, BigQuery, Vertica, Kafka, Docker, and Kubernetes. You will be instrumental in building products that operate at a massive scale while working alongside a talented group of engineers and data scientists.
DoubleVerify
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Company Size
501-1000
Markets
