below marketmost similar roles pay hereabove market
This role pays more than
77%
of similar roles. Most pay
$126,800–$214,000
— the blue band above.
At the midpoint, this role pays about
$217k
versus about
$170k
for comparable roles.
Based on 240 similar postings.
Employer
About PayPal
PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.
PayPal currently has
96 open roles
on FindRole.
Listed pay typically runs
$160,500–$259,158
across 91 roles with salary data.
The Data Engineering Manager will lead the data engineering strategy for developer productivity platforms. This role involves designing and overseeing scalable data architectures to support data collection, processing, and analysis, ultimately providing actionable insights to identify bottlenecks and accelerate software delivery. The manager will define data ingestion, processing, and storage strategies for various developer tools and the SDLC. Key responsibilities include developing reports and visualizations to enhance productivity across development teams. The role requires expertise in AWS, Azure, Snowflake, Databricks, Airflow, Kafka, Spark, Python, SQL, PowerBI, Tableau, SSIS, Redshift, BigQuery, and Java. Candidates must demonstrate proficiency in data modeling, real-time analytics, and team management while leveraging frameworks like DORA and SPACE to measure developer productivity and ensure data governance compliance.
Define and execute the data engineering strategy for developer productivity platforms.
Design and oversee the implementation of scalable data architectures for collection, processing, and analysis.
Develop a platform to identify bottlenecks and accelerate software delivery through actionable insights.
Define data ingestion, processing, and storage strategies for developer tools and the SDLC.
Design and develop reports and visualizations for engineers, managers, and leadership.
Implement key metrics for measuring developer productivity using DORA and SPACE frameworks.
Manage software and data management teams to ensure project delivery.
Ensure data accuracy, integrity, and compliance with data governance standards.
What we're looking for
Master’s degree in Computer Science, Engineering, or a related field.
Three years of experience in the job offered or a related occupation.
Three years of experience designing and building large-scale data platforms and real-time analytics systems using AWS, Azure, Snowflake, Databricks, Airflow, Kafka, and Spark.
Three years of experience using Python and SQL for data processing, pipeline, and model development.
Two years of experience with BI tools and data visualization techniques using PowerBI and Tableau.
Three years of experience in data modeling, data aggregation methodologies, and technical architecture for data pipelines.
Three years of experience building applications and data pipelines while ensuring privacy and compliance using SSIS, Airflow, and Spark.
Three years of experience in team management of software and data management teams.
Three years of experience in software engineering development with Java and similar OOP skills.
Two years of experience ensuring data accuracy, integrity, and compliance with data governance standards.
Two years of experience driving SDLC team adoption and practices for software teams.
AWS
S3
Lambda
DynamoDB
Python
SQL
dbt
Qlik Replicate
InfoSphere DataStage
CP4D
Data Vault
Git
DevOps
Agile
SCRUM
Kanban
API Development
Data Warehousing
Data Modeling