When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

As a Manager for Data Engineering team, you will be managing data platforms and implement new technologies and tools to further enhance and enable data science/analytics, build reusable data products and business ready data along with driving scalable data management and governance practices to provide superior Customer Experience and achieve Operational Excellence. Leading the team of data engineers & solutions architects to deliver solutions to business teams.

  • Proactively drive the vision with leadership team for data platforms enrichment covering the areas like Data Warehousing/Data Lake/BI across the portfolio.
  • Define and execute on a plan to achieve that vision.
  • Build a high-quality Data engineering team and continue to drive to scale up.
  • Ensure the team adheres to the standard methodologies on data engineering practices.
  • Build cross-functional relationships with Data Scientists, Data Analysts and Business teams to understand data needs and deliver data for insight solution.
  • Drive the design, building, and launching of new data models, data pipelines and curated data products.
  • Drive data quality across all data pipelines and related business areas.

What we’re looking for...

You are curious and passionate about Data and highly scalable data platforms. People count on you for your expertise in data management in all phases of the software development cycle. You create environments where teams thrive and feel valued, respected and supported. You enjoy the challenge of managing resources and competing priorities in a dynamic, complex and deadline-oriented environment. Building effective working relationships with other managers across the organization comes naturally to you.
You’ll need to have:

  • Bachelor's degree or four or more years of work experience.
  • Six or more years of relevant work experience in data engineering.
  • Experience in end-to-end delivery of Data Platform Solutions and working on large scale data transformation.
  • Experience in Spark, Hive, Scala, Pig, Kafka, Pulsar, Nifi, Python, Shell scripting.
  • Experience in Teradata or other MPP systems.
  • Knowledge in Google Cloud Platform/BigQuery.
  • Experience working with DevOps tools like Bitbucket, Artifactory, Jenkins, Infrastructure as Code (Terraform/ Ansible, Chef, Puppet), Dockers, Kubernetes.
  • Knowledge in Data Governance and Data Quality.
  • Experience in building / mentoring the team.

Even better if you have:

  • Master’s degree.
  • Eight or more years of experience with four or more years in data engineering, big data, hadoop and DevOps technologies.
  • Certifications in any Data Warehousing/Analytical solutioning.
  • Certification in program/project management.
  • Technical leadership in architecture, design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable.
  • Proven ability to meet tight deadlines, multi-task, and prioritize workload.
  • Experience in collaborating with cross-functional teams and managing stakeholder expectations.
  • Good experience working with globally distributed teams.
  • Communication and Presentation skills.