Sr. Manager, Digital Analytics Innovation
Location:
Vienna , Virginia
Posted:
February 08, 2017
Reference:
R18816
Towers Crescent 2 (12067), United States of America, Vienna, Virginia

Sr. Manager, Digital Analytics Innovation

As a Digital Analytics team, we are on a journey to turn “data” into “intelligence”.  We envision, create, deploy, and maintain innovation digital analytics data products and solutions powered by streaming big data, state of the art machine learning, micro-service architecture, and intuitive visualizations in the cloud. We are highly technical with strong backgrounds in what we do.

As a senior member of the team, you will drive the design, implementation, testing, deployment, and post-release support in an agile development environment embracing DevOps culture and CICD. Your efforts will provide data intelligence enabling the execution of Digital’s strategic data initiatives.  

Who you are:

- You yearn to be part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule

- Someone who relishes challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional results

- You love to learn new technologies and mentor junior engineers to raise the bar on your team

- You obsess over code optimization, tuning and profiling

- A current open source contributor….or aspire to be one

- Passion for automation of everything to release fast, frequently, and reliably

- You love data!  

#iloveData

Basic qualifications:

- Bachelor's Degree or military experience

- At least 10 years of experience in software engineering with experience building three tiered architecture solutions

- At least 4 years direct people management experience

-At least  2 years of experience with agile software development practices

- At least 2 years of experience in object oriented or functional languages

-At least 2 years building high-performing, resilient & scalable applications in cloud environments

Preferred Qualifications:

- MS/PHD in computer science, computer engineering, mathematics is a plus

- At least 2 years of experience in Storm or Spark

- At least 2 years of experience in HBase, Postgres or Elasticsearch

- At least 4 years of experience in Java, Python or Scala

- At least 2 years of experience working with automated build and continuous integration systems such as Ansible, Chef or Puppet, and Jenkins

- At least 1 years of experience in data ingestion using Nifi, Databus or Snaplogic

- At least 2 years of experience working with Data Scientists

- At least 2 years domain experience in Digital data provisioning solutions like Adobe Analytics.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position


A little about us:
Headquartered in McLean, Virginia, Capital One® offers a broad array of financial products and services to consumers.

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