What are the responsibilities and job description for the Distinguished Data Engineer position at Verizon?
When you join Verizon
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.
What you’ll be doing...
As a Distinguished Data Engineer at Verizon, you are responsible for:
Managing data platforms and implementing new technologies and tools to further enhance and enable data science/analytics, focusing to drive scalable data management and governance practices.
Drive vision with the leadership team for data platforms enrichment covering the areas like Data Warehousing/Data Lake/BI across the Verizon Business (VBG) and Consumer (VCG) Groups.
Providing technical leadership and guidance: You will serve as a subject matter expert, mentoring other engineers and influencing architectural decisions for various strategic programs across VBG and VCG lines of businesses.
Designing and developing complex data solutions: This includes building and maintaining data pipelines, data warehouses, and data lakes to support Verizon’s diverse business needs.
Working with cutting-edge technologies: You’ll leverage your expertise in big data technologies (like BigQuery, Dataflow, Teradata Utilities, Hadoop, Kafka, Pub-Sub, Graph DB, VectorDB), cloud platforms (like Google cloud platform and OCI), and data modeling techniques to deliver innovative AI & Data solutions.
Ensuring data quality and integrity: You will implement robust data quality checks and validation processes to maintain the accuracy and reliability of data assets.
Collaborating with cross-functional teams: This involves working closely with data scientists, analysts, and business stakeholders to understand requirements and deliver impactful data-driven solutions.
Staying abreast of industry trends: Continuous learning and exploration of emerging technologies in the big data and cloud computing domains is crucial.
Participating in building world-class data products / assets for telecom business that includes revenue analytics, access cost analytics to improve margins for our Business.(VBG) and Consumer (VCG) lines of businesses.
What we’re looking for...
Participating in building world-class data products / assets for telecom business that includes revenue analytics, access cost analytics to improve margins for our Business.(VBG) and Consumer (VCG) lines of businesses.
Collaborating with business product owners, directors, and system architects to develop strategic data solutions from sources which include batch, file and data streams.
Driving the vision with the leadership team for data platforms enrichment covering the areas like Data Warehousing/Data Lake/BI across the portfolio.
Understanding the business needs around Single-row data model and work to enrich data, automate pipelines and reports, productionize data assets, migrate to strategic platform such as to GCP etc..
Driving concept initiation, design, build, and implementation of new data models and data pipelines the helps drive bottom-line business benefits.
Driving data quality across all data pipelines and related business areas.
You’ll need to have:
Bachelor's degree or four or more years of work experience.
Six or more years of relevant work experience.
Extensive experience in end-to-end delivery of Data Warehousing Solutions and working on large scale data transformation preferably in telecom industry
Experience in building both batch & real-time data solutions using Google Cloud Platform/Big Query.
Even better if you have one or more of the following:
Six or more years of experience in leading teams and driving the end-to-end deliverables.
Two or more years of experience in contributing to telecom/technology industry at large such as white-papers, article, etc..
Experience in delivering Data Products at enterprise scale to support business decisions and outcomes that are focused around B2B revenue generation, access cost models, network architecture
Experience in building data services using conversational data and integrating with Generative AI services.
Experience in building data products that can enable predictive AI and prescriptive AI
Experience working in any Graph DB or Vector DBs.
Experience in working with DevOps and Data pipeline automation platforms.
Knowledge of Spark, Hive, Scala, Pig, Kafka, Pulsar, Nifi, Python, Shell scripting.
Knowledge of Data Governance and Data Quality.
Ability to meet tight deadlines, multi-task, and prioritize workload.
Experience in building / mentoring data teams
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Where you’ll be working
Scheduled Weekly Hours
40Equal Employment Opportunity
We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.
