Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose 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 Senior Data Engineering Manager within the Artificial Intelligence and Data Organization (AI&D), you will provide the leadership to help our data engineering team deliver quality data to various cross-functional teams driving strong business outcomes. You’ll partner with your internal clients, stakeholders and vendor partners to deliver these outcomes. You will lead a high-performing team with strong analytical and technical skills and will be expected to lead by example, challenging the status quo and constantly seek opportunities for improvisation.
Proactively driving, planning and executing the vision with the leadership team for data platforms enrichment covering the areas like Data Warehousing/Data Lake/BI/Data Ops/Data Quality/Data enablement across the portfolio.
Building a high-quality Data engineering team and continue to drive scale-up.
Ensuring the team adheres to the standard methodologies on data engineering practices.
Seeking and Driving opportunities to continuously enhance existing processes.
Building cross-functional relationships with other teams like Data Science, Visualization, and Business teams to understand their data needs and deliver data with quality and SLAs.
Designing, building, and launching of new data engineering solutions and data pipelines.
Driving data quality across all data pipelines and related business areas.
Developing innovative strategies.
What we’re looking for...
You'll need to have:
Bachelor’s degree or four or more years of work experience.
Six or more years of relevant work experience.
Experience managing a large data ecosystem.
Two or more years of experience in Stakeholder and vendor management.
Two or more years of experience in people management, planning.
Experience driving and managing data engineering teams of highly skilled people.
Experience with cross-team collaboration, interpersonal skills/relationship building, and management.
Even better if you have:
Eight or more years of relevant work experience in the big data space on technologies like Hadoop, Spark, Hive, Kafka, Oozie, ELK, Ranger, Atlas, Presto etc.
Strong oral and written communication skills.
Analytical and problem-solving skills with strong attention to detail.
Understanding of Telecom domain.
Designed an operating model that fosters reuse and sharing of Reusable assets.
Experience presenting to and influencing functional leaders and stakeholders.
Experience of working on big data migration projects to Cloud (GCP).
Experience in managing/setting up big data QA and testing teams.
Experience working on and delivering large programs.