Data Engineering Group Manager
Adobe
San Jose
hace 3 días

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The challenge

Leverage your leadership expertise in the field of data engineering to drive the next stage of growth at Adobe. The group manager will be responsible for leading a team of data engineers focused on Adobe’s Creative Cloud subscription business.

This role will drive data engineering for large-scale data science and machine learning initiatives, oversee the transition to and operations on a cloud-based infrastructure, contribute to the development of frameworks and lead / drive a modern data strategy to support Adobe’s large and growing B2C business.

As the leader of the Data Engineering team, you will have significant responsibility and influence the future of data platforms at Adobe.

The ideal candidate will have a passion for developing talent and an ability to architect quality data solutions that last the test of time.

This position involves leading a strong team of data engineers to develop large-scale data pipelines and analytical solutions using open-source technologies.

What you will do

  • Deliver large-scale data engineering projects in partnership with data science, machine learning and BI teams
  • Lead migration of key data pipelines to cloud-based infrastructure
  • Create a strong engineering culture where team members learn and grow while delivering measurable contributions to the business
  • Run critical data operations in close partnership with supporting teams
  • Contribute to data engineering frameworks, tools and processes
  • Run agile development process that is responsive to business needs
  • Evaluate and implement new technologies
  • Deliver resilient data pipelines built for reliability, quality and integrity
  • What you will need

  • 3+ years of experience as a technical people manager
  • 7+ years of experience data engineer, ML engineering or related domain
  • Practical platform engineering skills with and theoretical understanding of algorithms for classification, regression, clustering, recommender systems, reinforcement learning, and anomaly detection
  • Worked with open-source data technologies (e.g., Hadoop, Spark, Hive)
  • Proficiency in Python and SQL
  • Strong hands-on experience in designing and developing curated datasets for data science and machine learning. Technical creativity to engineer novel features, workflows, tools that push beyond current tools and approaches.
  • Excellent communication / collaboration skills when it comes to leading and inspiring data engineers, data scientists and machine learning engineers
  • Experience with B2C subscription business model is a plus
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