Senior Data Engineer (Remote)

About the job

We are looking for a strong Sr. Google Data Engineer to join the Enterprise Data Service team, who thrives on Data Engineering, research and development of projects. This role will define and deliver solutions that leverage data to enable the company to scale and accelerate its growth within the cloud. Looking for someone that can take the lead and build data pipelines, data models and data integrations and other business systems into the Google data platform that will empower the business and analysts to make data-driven decisions This person will Setup Google infrastructure, automation and visualization platforms and setup and manage data platform including Enterprise Data Warehouse. The Google Cloud Senior Lead Engineer will be a key member of the Riteaid Enterprise Data Services group. They will provide best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. Through the cloud engineer’s guidance, we will ensure our teams have an excellent experience in building, modernizing, migrating, and maintaining applications in our hybrid multi cloud environment. The cloud engineer also serves as a guide and subject matter expert elevating the overall cloud capabilities within Riteaid. Refine, evangelize, and deliver on Riteaid’s Modernization vision and strategy Partner in the delivery of cloud-based technical architectures, migration approaches, and application optimizations that enable business objectives Collaborate with Product Owners, Scrum Masters, Developers, Product Architects to implement technical solutions Evolve and drive our automation capabilities by enabling a DevOps and SRE culture Support the adoption of Cloud practices and drive the institutionalization of the practices Identify risk and mitigation plans associated with security, legal, data, compliance, and regulatory requirements Contribute to the development of internal best practices as well as new innovative capabilities Hands on-Technical lead to guide, mentor, and coach Experience / Requirements What We Look For in a Candidate 8+ years’ experience in combined roles of cloud engineer, infrastructure engineer, DevOps engineering, SRE or application development 4+ years’ experience designing, building, and deploying scalable cloud-based solutions in GCP Expertise with automating infrastructure provisioning and/or continuous integration/delivery Experience with containerization and container orchestration technologies Experience with cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability) Experience in supporting and troubleshooting large-scale applications deployed in a hybrid multi-cloud Familiarity with standard IT security practices such as identity and access management, data protection, encryption, certificate, and key management Experience one or more languages, such as Java, Python, Go, JavaScript, C++, or similar Experience with “on-premises to cloud” migrations or IT transformations Experience leading by example in a large, highly complex, and ever-changing organization; preferably in a hybrid cloud environment. Demonstrate a sense of urgency, accountability, and holding your partners to the same standard Must Haves: Hand on experience using Google data platforms. Setup automation and visualization platforms. Experience building data platforms and data warehouse from ground up Experience with visualization platforms (Tableau, Excel) Expertise in ETL design, implementation and maintenance Expert in schema design and dimensional OLTP data modeling Building data design and modeling from ground up Expert usage of SQL and python (must be able to code in python) Practical application of basic statistical methods: Regression and other techniques to be used for statistical models Education Bachelor’s Degree in Arts/Sciences (BA/BS) Computer Science, Business Intelligence, Statistics, Information Technology or Engineering preferred.