Senior Tech Lead / Data Architecture & Engineering at Capital One Financial Corporation

Posted on: 08/19/2021

Location: Plano (ON-SITE)

full time

Original Source

Tags: mongodb scala hbase cassandra spark nosql flink kafka python aws postgres hadoop

Plano Town Center (31064), United States of America, Plano, TexasSenior Tech Lead / Data Architecture & EngineeringSenior Tech Lead / Data Architecture & Engineering Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, [inclusive,](https://www.capitalone.com/diversity/business-resource-groups/) and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Senior Tech Lead / Master Data Engineers who will be a part of a team that’s building new analytical and machine learning tools and frameworks to exploit advantages in the latest developments in cloud computing. As a [Capital One Data Engineer](https://www.capitalonecareers.com/category/engineering-jobs/1732/29016/1), you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Learn more about [#lifeatcapitalone](https://www.capitalonecareers.com/blog) and our commitment to [diversity & inclusion](https://www.capitalone.com/diversity/our-commitment/) by jumping to [slides 76-91](https://ecm.capitalone.com/Release/wcm/COF_corporate-social-responsibility-2019-2020.pdf#page=76) on our Corporate Social Responsibility Report. This role will be a hands-on individual contributor within our Auto Loans organization, operating in our innovation division (The Garage) along with like-minded knowledge leaders to tackle our hardest problems, establishing patterns, collaborating across multiple teams and lines of business including enterprise architecture, to push the boundaries of our data ecosystem enabling new use cases and democratizing the data including machine learning. What You’ll Do: * Participate and contribute to the data architecture standards and governance process including best practices & patterns * Work on proof of concepts ranging from new and upcoming databases to warehousing including big data ecosystem and related tooling * Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems * Utilize programming languages like Java, Scala/Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Perform unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor’s Degree * At least 8 years of enterprise experience in application development with Java and Spark * At least 6 years of enterprise experience with Big Data technologies (Cassandra, HBase, Spark, Hadoop, HDFS or MongoDB) * At least 4 years of enterprise Public Cloud experience * At least 2 years of enterprise architecture and design experience Preferred Qualifications: * Master’s Degree * 4+ years with Python and Scala * 2+ years of enterprise experience with operational databases (Postgres), including transactionality, replication and change data capture * 2+ years enterprise experience with data ecosystems including data quality, lineage and warehousing * 2+ year experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink) * 2+ years of experience with Amazon Web Services (AWS), including AWS infrastructure * AWS Certification Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.