Sovrn

Monetization tools and analytics for publishers

Principal Engineer - Data Platform

Data EngineeringConfirmed live in the last 24 hours

Full-timeBoulder, CO, USANo salary listedIn-person

About the Job

Requirements

A Bachelor or Master degree in Computer Science or a relevant field is required.
At least 8 years of experience, including team leadership, is required.
Excellent understanding of real-time and batch pipelines, big data, data pipelines, and/or data lakes is required.
An analytical mindset and problem-solving skills are required.
Excellent communication and collaboration skills are required.
Ability to understand the business domain and translate it into data platform services is required.

Responsibilities

Lead hands-on engineering for real-time and batch data pipelines.
Design, build, and test data pipelines.
Specify configuration and infrastructure for data pipelines.
Automate deployment and implement monitoring to ensure production reliability.
Design real-time and batch pipelines according to business data requirements and service-level objectives.
Specify data platform components and configurations required for data pipeline implementation.
Baseline pipeline performance to achieve scalability.
Implement data pipeline metrics to monitor performance and accuracy.
Identify, prioritize, and execute pipeline improvements.
Partner with feature-team engineering, data science, and external data partners to enable business deliverables.
Lead engineering for a standardized data services layer.
Partner with release automation engineering on deployment pipelines.
Partner with quality assurance automation engineering to validate pipelines.
Troubleshoot systemic issues and lead improvements.
Mentor junior engineers and help facilitate daily stand-ups.

Job Description

As Principal Engineer, Data Platform you will be responsible for leading the hands-on engineering for real time and batch data pipelines. Data software engineering includes designing, building, testing data pipelines; specifying configuration and infrastructure, automating deployment, implementing monitoring, and ensuring production reliability. As a Staff Engineer you are expected to provide proven expertise in the big data domain, and provide technical leadership for data software engineering team. Additionally, you will be responsible for mentoring more junior engineers and aid in facilitating daily stand-ups.

Responsibilities

Design real time and batch pipeline according to business data requirements and service level objectives
Specify data platform components and configurations required for data pipeline implementation
Baseline pipeline performance to achieve scalability
Implement data pipeline metrics to monitor performance, accuracy
Identify, prioritize, and execute pipeline improvements
Partner with feature team engineering, data science, and external data partners to enable business deliverables
Lead engineering for standardized data services layer
Partner with Release automation engineering for deployment pipelines
Partner with QA automation engineering to validate pipelines
Troubleshoot systemic issues and lead improvements

Qualifications

Bachelor or Masters in Computer Science or relevant field
8+ years' experience, including team leadership
Excellent understanding of real time and batch pipelines, big data, data pipelines, and/or data lakes
An analytical mindset with problem-solving skills
Excellent communication and collaboration skills
Ability to understand business domain and translate to data platform services

Position Reports to: Director, Data Platform Engineering

Additional Information

http://vimeo.com/100316082

Contact:

Scott Schoenberger

About the Company

Sovrn

Monetization tools and analytics for publishers

Sovrn provides tools and advertising products for publishers to grow their audience and monetize content. Its offerings include an advertising toolbox linked to a certified ad exchange for safe, relevant ads, plus data analytics and commerce services. Signal delivers actionable insights that publishers can use to boost revenue, with examples like a 26% increase for Ancient History Encyclopedia. The company aims to help publishers maximize earnings from content with easy-to-use tools and generates revenue by taking a share of the publishers' earnings, distinguishing itself with an integrated, publisher-focused platform.

Company size: 51-200
Company stage: Series C
Total funding: $109M
Headquarters: Boulder, CO
Founded: 2014

Recently Posted Jobs

Explore more opportunities at Sovrn

See more jobs