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Wells Fargo is looking to build a modern hybrid data platform from the ground up to enable solutions for the next generation of data analysis. The company is migrating from on-premises systems to the Google Azure cloud and needs a Lead Cloud Data Platform Engineer to help lead the design and implementation of modern data processing capabilities.

Requirements

• 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of hands-on experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming, in a highly collaborative team
• 3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Apache Kafka, Airflow, and SQL
• 2+ years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats
• Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics
• Proven skills with data migration from on-prem to a cloud native environment
• Proven experience working with the Hadoop ecosystem capabilities such as Hive, HDFS, Parquet, Iceberg, and Delta Tables

Responsibilities

• Implement and operationalize modern self-serve data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
• Enable secure data pipelines to ensure data protection in transit and at rest
• Automate data governance capabilities to ensure proper data observability throughout the data flows
• Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities
• Create repeatable processes to instantiate data processes that fuel analytics products and business decisions
• Work with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority
• Create the Future of Data: design and implement processes using the entire toolset within GCP to shape the future of data

Other

• Ability to work on-site in one of the listed locations in a hybrid environment
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
• Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company.
• Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities.
• Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.