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Cloud and Data Platform Engineering Lead

eyeo

United States

Remote

USD 90,000 - 150,000

Full time

13 days ago

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Job summary

An innovative company is seeking a Cloud and Data Platform Engineering Lead to drive the evolution of its data processing platform. This role involves designing scalable architectures and ensuring data accuracy while fostering a collaborative team culture. With a focus on work-life balance and professional growth, you will lead technical projects and mentor team members. Join a diverse, remote-friendly organization that values your contributions and offers a comprehensive benefits package, including health insurance and professional development opportunities.

Benefits

Health Insurance
Professional Development Budget
Paid Vacation Days
Sabbatical Leave
Choice of Hardware

Qualifications

  • Experience with scalable, fault-tolerant architectures.
  • Familiarity with data architecture approaches and use cases.

Responsibilities

  • Design and build cloud and data platforms for data-driven decisions.
  • Manage platforms from proof-of-concept to deployment.

Skills

Cloud Services (Google Cloud)
Terraform
Python
Bash
SQL Queries
Data Libraries (Airflow, PySpark, Pandas)
CI/CD Pipelines
Data Architecture

Job description

Get to know us

At eyeo, we transform the internet into a trusted, sustainable and accessible place where users regain control over their experience, content creators and publishers are rewarded for their content, and advertisers and consumers can connect on mutually agreed terms.

With multiple brands across the ad tech space, eyeo offers solutions for publishers, advertisers, ad-tech solutions providers and over 400 million ad-filtering users worldwide. eyeo’s market-leading ad-filtering technology powers products like Adblock Plus and AdBlock as well as technical integrations for popular browsers and smartphone OEMs.

Our subsidiary, Blockthrough, is the most popular ad block recovery solution among the Comscore-150, offering premium demand via direct seats with top-tier SSPs, allowing effective content monetization and providing a platform where publishers and advertisers can efficiently transact.

We believe in creating a positive and empowering workplace where work-life balance is a priority. With a dedicated learning and development budget, you'll have the tools to grow and advance your skills, while contributing to clearly defined personal and company goals. Our people-first culture ensures you feel appreciated for your work and know that your contributions truly matter.

Your day-to-day activities

The Cloud and Data Platform team has two main goals: ensuring that our platform foundations enable everyone at eyeo to be as effective as possible, and rethinking our data processing platform to be scalable and ready for the future where we handle data from hundreds of millions of users.We are looking for a Cloud and Data Platform Engineering Lead to drive this evolution, contributing with leadership skills and strong technical knowledge.

You will provide technical leadership, as well as make direct contributions, to increase our platforms' performance and streamline processes. You will also ensure that the team members have what they need to be successful at eyeo and grow professionally.

From an engineering perspective:

  • Design and build cloud and data platforms, endpoints and pipelines that meet business requirements and enable stakeholders to make more data-driven decisions, without losing track of technical quality and maintainability
  • Actively collaborate with teams across all of eyeo (like browser extension developers, data analysts and legal counsels) to design data collection systems that are compliant with regulations and respect user privacy
  • Actively collaborate with teams across all of eyeo (like browser extension and mobile application developers) to design platforms that enable them to be as effective as possible, like our own GitLab runners
  • Manage platforms and software from proof-of-concept to deployment, operation, and finally deprecation; and manage data through ingestion, access, schema changes and deletion
  • Implement strategies to ensure that data is accurate, complete, timely and consistent
  • Contribute to ongoing management of our platforms, including performance monitoring, troubleshooting and resolution of technical issues
  • Managing contracts with service providers such as Google, GitLab and CloudFlare

From a leadership perspective:

  • Develop talent through onboarding, mentoring, coaching, feedback and hands-on career development. Encourage and celebrate the learnings and successes of your people
  • Build a team culture that is collaborative, inclusive and respectful
  • Identify, design and implement process improvements: automating manual processes, simplifying collaboration with data analysts, etc
  • Maintain a balance between building high-quality technology, preventing technical debt, and predictable and frequent delivery
What you bring to the table

From an engineering perspective:

  • Experience translating (data) strategy into scalable, fault-tolerant architectures
  • Experience with cloud services (ideally Google Cloud), including managing infrastructure with Terraform
  • Familiarity with different approaches to data architecture (warehouse, lake, mesh, batch vs streaming, ETL vs ELT, etc.) and how they can be leveraged in different use cases
  • Experience with Python and Bash for scripting and automation
  • Experience with common data libraries and platforms such as Airflow, PySpark, Pandas, etc.
  • Expertise with SQL queries and query optimization, ideally in BigQuery
  • Experience designing and implementing CI/CD pipelines (ideally in GitLab)

From a leadership perspective:

  • Passion about introducing engineering best practices, for instance to ensure testability, data quality and completeness, etc
  • Some leadership experience, for example mentoring other team members as a senior engineer, or having led a team before
  • Excellent communication and collaboration skills, both with engineers and non-technical stakeholders
It’s awesome if you have
  • Experience in Go
  • Experience with data visualization tools
  • Experience working in globally distributed, cross-functional teams (our team has members in the CET and ET time zones)
  • Familiarity with the ad tech sector
How and where we work

eyeo is a global employer with over 300 colleagues based all over the world. We love our diversity and take great pride in our company culture. We practice an independent, remote workstyle with work distributed in cross-functional matrix teams that span predominantly EST and CET time zones. If working remotely isn’t for you, we also have our HQ in Berlin and offices in Cologne, Toronto and soon in NYC that you can choose to work from. Our in-person team and company meetings foster community and collaboration. By enabling remote work and in-person sessions, we have built a culture that provides a unique dynamic of flexibility and belonging.

What we offer
  • Work remotely or from one of our offices —we trust you to find what works best for you
  • Full package of benefits* (health insurance, choice of hardware, paid vacation days, professional development and relocation budget, sabbatical leave, etc.)

*Some benefits vary subject to the hiring location

Equal Opportunity Statement

At eyeo, we are committed to fostering an inclusive environment where every employee is empowered to thrive. We believe that the diversity of our backgrounds and experiences enhances our products and services, and we take pride in being a safe space for everyone.

All qualified applicants will receive equal consideration for employment, regardless of race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical ability, or duration of unemployment. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued and respected.

Privacy Notice

When you apply, you’ll be automatically forwarded to our recruitment platform operated by an external service provider called Greenhouse (seated in the US). Greenhouse collects some information on its website, such as anonymous usage statistics, by using cookies, server logs, and other similar technology. For more information, please refer to Greenhouse’s Privacy Policy. All documents and information provided by you are stored with Greenhouse. In order to ensure an adequate level of data protection, eyeo and Greenhouse have entered into the EU Standard Contractual Clauses (“processors”) - Commission Decision C(2010)593. You can request a copy of this by contacting us at privacy[at]eyeo.com. If you don’t want your data forwarded to Greenhouse, please do not apply. For detailed and further information, please refer to our Privacy Policy at https://eyeo.com/en/privacy.

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