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Solutions Engineer / Architect

Capital One


Location:
Vienna, VA
Date:
04/27/2017
Job Code:
capitalone2-R23892
Categories:
  • Engineering
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Job Details

Company Capital One

Job Title: Solutions Engineer / Architect

JobID: capitalone2-R23892

Location: Vienna, VA, 22180, USA

Description: Towers Crescent (12066), United States of America, Vienna, Virginia



At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.



Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.



Solutions Engineer / Architect



The Enterprise Data - Data Client Engagement Team manages the relationship between data users with the enterprise platform teams. This work spans driving and managing use cases, communications, and design.



As the Solutions Engineer/ Architect for the Data Client Engagement Team you will lead the effort to translate customer data infrastructure and movement needs into effective, reusable solutions and products fitting within the overall Enterprise Data Strategy. You will work closely within the customer space to develop robust and meaningful relationships facilitating trust and open communication. You will ascertain customer Business as Usual (BAU) data requirements, ongoing development projects, and future goals of the customer segments and work with the Enterprise Data product teams to transform that knowledge into real solutions.



You’ll lead or mentor cross-functional analysis and product teams to drive delivery and infrastructure activities – enabling the next-generation of Enterprise Data products and solutions. By virtue of your advocacy, you will help steer the strategic direction of Enterprise Data infrastructure evolution.



You will also be responsible for developing technology roadmaps with customers to help assist them in their growth from legacy platforms to modern architectures largely focused on cloud-based solutions.



As a member of the Data Client Engagement team, you will help advise customers on how to fit their existing and new data sets into an Enterprise Data Ecosystem. You will work with customers to build the concepts of reliability, scalability, and maintainability into their engineering lifecycle plans. You will also provide engineering consulting to the customers across the LOBs and enterprise on data engineering concepts.



The Solution Engineer/Architect will liaise with experts throughout the company to understand and influence Capital One’s overall data architecture strategy, including technology deployment, access, security, event messaging, and data management, data integrity, and tools to deliver top-notch data products to the enterprise.



The role will also play a key role in shaping our culture and our people. You’ll provide mentorship, leadership, and guidance for your team mates, and will be an ambassador for Capital One data initiatives in industry.



**Daily jobs could include:**



+ Develop a deep technical understand of each of our customers

+ Learn their business, needs, and future goals and translate that knowledge to recommend effective technical solutions

+ Lead and drive teams delivering on new data technologies for unstructured, structured, streaming, and high volume data

+ Work directly with Product Owners and end-users to constantly deliver data-driven products in a highly collaborative and agile environment

+ Provide senior level technical leadership to product development teams working on complex data intensive problems, basing their solution architectures on industry best practices and software techniques

+ Cultivate relationships across the data technology industry to maintain market knowledge of industry, products and competitive landscape



**Your experience probably includes most of these:**



+ Extensive experience and domain knowledge in the areas of data infrastructure, data movement, metadata, data quality, data governance, data lineage, and reference data

+ Professional experience in architecting, designing and developing open source or commercial software of enterprise scale

+ Deep hands-on expertise in big data, fast data and public cloud technologies for relational, non-relational, and streaming data

+ Leading change from legacy to new and alternative technologies

+ Experience building, motivating and leading teams to solve problems and deliver high quality results in a fast-paced, unstructured environment



**Your interests:**



+ You love data

+ You are customer-focused with a strong desire to turn empathy into action

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

+ You are highly curious. You ask why, you explore, and you're not afraid of challenging the status quo

+ You excel at creating and leading teams of highly talented people and strive to help others build their skills and achieve their career goals

+ You easily communicate complex ideas clearly to both technical and non-technical audiences



**Basic Qualifications:**



+ Bachelor' Degree or Military Experience

+ At least 6 years of professional experience in a technical role

+ At least ss3 years of professional experience in one of the following areas: business analytics, data science, or product ownership

+ At least 2 years of experience in building big data pipelines

+ At least 2 years of experience in cloud application development

+ At least 2 years of experience with Machine learning frameworks

+ At least 1 year of experience with big and fast data technologies (Spark, Cassandra, Accumulo, HBase, Hadoop, HDFS, PostgreSQL, Redshift, or MongoDB)

+ At least 3 years of experience with industry patterns, methodologies, and techniques for data in cloud

+ At least 2 years of experience with Agile engineering practices



**Preferred Qualifications:**



+ Master's Degree

+ 3+ years Solutions Engineering or Solutions Architecture experience developing data-driven software solutions to solve business problems

+ 3+ years of experience of managing and developing people



At this time, Capital One will not sponsor a new applicant for employment authorization for this position.



At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.                                               


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