Job Details
Verizon Communications Inc
Distinguished Data Engineer
When you join Verizon
Verizon is one of the world's leading providers of technology and communications services, transforming the way we connect around the world. We're a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together-lifting up our communities and striving to make an impact to move the world forward. If you're fueled by purpose, and powered by persistence, explore a career with us. Here, you'll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.
What you'll be doing...
We are seeking an experienced strategic technical leader with telecom and wireless expertise to join our team in a role as Distinguished Staff Engineer. You will leverage your deep hands-on expertise in cloud solution, data and ML to build solutions that support key functions like marketing, service assurance, and sales. This is a high-impact role shaping the future of our cloud data and AI platforms. The Ideal candidate is a driven technical leader who will spearhead data engineering research initiatives that will shape the future of our data infrastructure. As our Data Engineering Lead, you will explore cutting-edge technologies and techniques to build next-generation data platforms that power our products, operations, and strategic growth. Responsibilities include...
- Architecting data pipelines, warehouses, and machine learning solutions to power marketing, network operations, customer insights, and other telecom use cases.
- Leading projects to productionize promising technologies like distributed computing, streaming analytics, and cloud-native data patterns in our environment
- Building, and producing petabyte-scale data pipelines, lakehouses, and machine learning infrastructure on Google Cloud Platform leveraging tools like BigQuery, Dataflow, Dataproc, and Vertex AI.
- Researching, prototype, and evaluating emerging data engineering tools, architectures, and methodologies to solve complex challenges for telco workloads
- Handling massive datasets related to call records, network traffic, customer usage, and other telecom data sources
- Building a strategy and execution plan for migration to the cloud
- Data Engineering Cloud Cost/Operation Optimization
- Analyzing cloud spending across data platforms and identify optimization opportunities
- Right-size data infrastructure resources based on usage analytics and workload profiling
- Implementing automation and policies to eliminate waste, stop unused resources, increase efficiency
- Promoting architectural and workload best practices for cost-efficient data systems.
- Creating and managing processes for cloud budgeting, allocation, monitoring, and reporting
- Negotiating contracts with cloud providers to improve spending effectiveness
- Developing cost awareness initiatives such as chargebacks, show backs, and financial training
- Driving major technical initiatives and architectural decisions for the data platform, analytics, and AI
- Continuously improve engineering best practices related to data security, testing, CI/CD, and reliability of large-scale distributed systems on the cloud.
- Sharing knowledge across the organization by publishing papers, giving tech talks, and maintaining reference architectures
- Developing and promoting standards for high-quality, well-tested, maintainable code. Foster a culture of technical excellence.
- Architecting highly automated solutions for data observability platform for validation, and data drift detection to maintain quality and reliability of company core data.
- Collaborating cross-functionally with product managers, data scientists, and business stakeholders to understand needs and deliver impactful data solutions.
- Mentoring and developing junior engineers through code reviews, architectural guidance, design frameworks, and coaching sessions.
- Acting as a trusted advisor to executives on strategic technology and data solution directions.
Where you will be working...
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager
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.
Even better if you have one or more of the following:
- 15+ years of industry experience in data engineering, analytics, and production machine learning systems.
- Deep hands-on experience with Google Cloud data services: BigQuery, Dataflow, Dataproc, PubSub, Storage, CloudFunctions, Cloud Run.
- Deep knowledge of large-scale distributed data architecture patterns and performance optimization techniques.
- Deep expertise in strategizing, planning, program management, and technical architecture for large-scale cloud data modernization.
- Deep expertise in building data pipelines, warehouses, and machine learning solutions to power marketing, network operations, customer insights, and other telecom use cases.
- Proficiency in developing complex data pipelines, ETLs, and workflows on cloud platforms optimized for high volumes of telecom data.
- Expertise in designing modern data architecture using Fivetran or Matillion, dbtlabs or dataform, BigQuery, DatabrickSQL, Snowflake
- Knowledge of tools like Composer, Spark, Kafka, BigQuery, Dataform, Azure Data Fabric, Databricks, Snowflake
- Expertise in Open source Data Technologies in processing, storage, data quality - Cloudera Hadoop, Presto HUDI, Iceberg, Delta Lake, Apache Flink, GreatExpectations, Airflow, Kubernetes, Kafka
- Proficiency using cloud platforms like GCP, AWS, or Azure.
- Proficiency with CI/CD tooling like Jenkins, Airflow, Kubernetes, and Git/GitHub to enable robust development pipelines for data and ML
- Strategic thinker able to solve complex technical challenges and mentor junior engineers working with telecom data
- Knowledge of data data observability solutions Elementary.io, MonteCarlo, HoneyComb
This role is eligible to be considered for the Department of Defense SkillBridge Program.
Where you'll be working
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
Scheduled Weekly Hours
40
Equal 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.
