Principle Engineering- Data Engineering

Job Description

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...

You will be primarily responsible for the following activities but not just limited to these:

As a Cloud Architect, your responsibilities include designing and implementing Google Cloud Platform (GCP) solutions, developing architectural frameworks, and providing technical guidance and support to project teams. You will collaborate with business stakeholders, and cross-functional teams to understand business requirements and translate them into scalable and reliable cloud solutions.

• Ensure excellence in the end to end delivery of complex data engineering projects and programs.

• Responsible for ideation, architecture, design and development of new enterprise data platform. You will collaborate with enterprise architects to ensure seamless alignment within our overarching technology strategy.

• Lead the team in the design of technology solutions that meet the business needs in terms of sustainability, scalability, performance and security.

• Implement and enforce best practices, compliance standards, and access controls

• Design and optimize data storage, processing, and query performance for large-scale datasets using industry best practices while keeping costs in check.

• Architect and design the best security patterns and practices

• Design and develop Reusable data engineering components which will drive more efficiency to process

• Design and develop observability and data governance frameworks and practices.

• Stay up to date with the latest data engineering trends, technologies, and best practices and drive innovation.

• Drive the deployment and release cycles, ensuring a robust and scalable platform.

• Work with the delivery team to ensure a robust process exists that seamlessly moves large projects and change requests from definition to delivery to on boarding to BAU.

• Provide technical guidance and support to development teams, ensuring adherence to cloud architecture and design principles.

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.

What we’re looking for...

• Bachelor's degree or six or more years experience.

• Six or more years of relevant working experience

• Six or more years of experience in designing and implementing end to end solutions on Google Cloud Platform (GCP).

• Strong expertise in GCP services such as Google cloud storage, Big query, Dataproc, cloud function, Composer, IAM, Dataflow, cloud logger etc.

• Strong programming experience Python/SQL/shell scripting

• Strong knowledge and experience in designing data models in cloud data warehouse (conceptual/logical/physical)

• Strong experience and understanding of very large-scale data architecture, solutioning, and

operationalization of data warehouses, data lakes, and analytics platforms. (Both Cloud and On-Premise)

• Proficiency in infrastructure as code (IaC) tools like Terraform, Deployment Manager, or Google Cloud Deployment Manager.

• Solid understanding of networking concepts, security principles, and compliance standards related to cloud environments.

• Excellent problem-solving skills and ability to troubleshoot complex infrastructure issues.

• Effective communication and collaboration skills with the ability to work cross-functionally and interact with stakeholders at all levels.

Even better if you have one or more of the following…

• Familiarity with big data solutions such as Hadoop, Spark, and data analytics tools in the cloud.

• Experience in building Data products

• Experience with Data Mesh architecture.

• Knowledge of CI/CD Implementation on Cloud Platform

• Understanding of machine learning,AI, Gen AI solutions on the cloud.

• Exposure to the tech stack of Qlik/Looker/Vertex-AI/DataPlex etc.

• Experience with Data Quality and Performance Tuning

• Two or three industry domain knowledge (Finance, supply chain etc)

• Certification on data engineering technologies preferably Google Cloud Certified - Professional Cloud Architect

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

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

Diversity and Inclusion

We’re proud to be an equal opportunity employer. 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.