Distinguished Engineer - Data Architect
Company: Capital One
Location: Cedar Hill
Posted on: August 5, 2022
Job Description:
Locations: TX - Plano, United States of America, Plano,
TexasDistinguished Engineer - Data ArchitectAt Capital One, we
believe in the values of excellence and doing the right thing. We
are a technology-oriented company delivering financial products to
market through modern technology and constant innovation at a
massive scale.Distinguished Engineers are...
- Deep technical experts and thought leaders that help accelerate
adoption of the very best engineering practices, while maintaining
knowledge on industry innovations, trends and practices
- Visionaries, collaborating on Capital One's toughest issues, to
deliver on business needs that directly impact the lives of our
customers and associates
- Role models and mentors, helping to coach and strengthen the
technical expertise and know-how of our engineering and product
community
- Evangelists, both internally and externally, helping to elevate
the Distinguished Engineering community and establish themselves as
a go-to resource on given technologies and technology-enabled
capabilities
- Leaders who gain the trust and confidence of those around them,
from hands on engineers to executives -Whether a member of our
engineering or architecture teams, Distinguished Engineers are
individual contributors expected to solve problems in a fast-paced,
collaborative, and iterative delivery environment. In order to meet
these demands, candidates should be influential engineering leaders
with deep technology expertise, and a collaborative style that
brings others into the decision-making process. Distinguished
Engineers will significantly impact the Tech agenda within their
organization and devise clear roadmaps to deliver next generation
technology solutions across organizational boundaries.This
Distinguished Engineer will be a hands-on individual contributor
and Data Architect within our Retail and Direct Technology
organization - supporting Capital One Bank. They will be
responsible for tackling our hardest problems, establishing
patterns, collaborating across teams and lines of business, and
bringing SME-level knowledge around Data Engineering and
Architecture. This individual will need to see end to end across
our banking organization and 'put all the pieces' of our data
ecosystem together to create modern, real-time, data
solutions.Responsibilities
- Innovative practices to bring data from producer to consumer
and solving our most critical business problems in batch and
real-time, making our most important customer decisions and driving
our most critical data processes
- Demonstrates the highest level of hands on development and big
picture architecture; able to mentor engineers and educate
executives
- Design and develop cutting-edge solutions, using existing and
emerging technology platforms
- Leverage sound judgment and problem solving to tackle some of
Capital One's most critical problems and connect the dots to
broader implications of the work
- Provide technical vision, technical solutions and directions to
build complex and sustainable data ecosystem / platform
- Lead, manage and grow our data ingestion, data refinement and
data consumption teams as an individual contributor/SME
- Design, develop, deploy and manage a highly reliable and
scalable data pipeline
- Build/Modernize our data refinement/ETL processes
- Oversee the implementation of solutions for tracking data
quality, data consistency and lineage.
- Embrace and incubate emerging technology and open source
products across all platforms
- Collaborate with enterprise teams on developing and adhering to
the company standards in terms of validation rules, nomenclature,
design and deployments.
- Develop, demonstrate, and advocate data strategy at all levels
from new engineers to senior executives
- Collaborate with internal teams to find areas of opportunities
for automation and machine learning.
- Streamline the entire data ecosystem from end to end to ensure
the most efficient , standard, privacy compliant processes
possible.
- Establish best practices for data access that consider
real-time and batch, security practices, and performance
- Show expertise for data at all levels: low-latency, relational,
and unstructured data stores; analytical and ata lakes; data
streaming (consumption/production), data in-transit
- Lead the way in creating next-generation talent for Tech,
mentoring internal talent and actively recruiting external talent
to bolster Capital One's Tech talent
- Build awareness, increase knowledge and drive adoption of
modern technologies and architecture patterns, sharing customer and
engineering benefits to gain buy-in (working closely with leaders,
other SMEs, and engineers)
- Strike the right balance between lending expertise and
providing an inclusive environment where others' ideas can be heard
and championed; leverage expertise to grow skills in the broader
Capital One team (balance being a great coach and listener)
- Promote a culture of engineering excellence and being
well-managed, using opportunities to reuse and innersource
solutions where possible (always consider resiliency and impact;
major focus on customer experience)
- Effectively communicate with and influence key stakeholders
across the Financial Services and Enterprise, at all levels of the
organization
- Operate as a trusted advisor for a specific technology,
platform or capability domain, helping to shape use cases and
implementation in an integrated manner -Basic Qualifications
- Bachelor's Degree
- At least 7 years of Data Architecture and Data Modeling
experience
- At least 5 years of experience in database management and data
warehousing
- At least 3 years of experience providing solution design
- At least 2 years of experience building real-time data products
-Preferred Qualifications
- Masters' Degree
- 5+ years of experience developing in Python, Java, or
Scala
- 8+ years experience architecting and delivering software
systems or platforms
- 8+ years of data governance, data access, data lineage, data
monitoring, and security controls experience
- 3+ years of experience with AWS including EMR
- 3+ years experience working with containers such as Docker and
Kubernetes
- 3+ years of experience working with Big Data
- 2+ years of experience developing in Spark or Flink
- 2+ years of experience developing enterprise Data models
- 2+ years of experience bringing real-time decision use cases to
production
- 2+ years of experience building feature engineering, machine
learning platforms and use cases
- 2+ years experience working with Cloud technologiesCapital One
will consider sponsoring a new qualified applicant for employment
authorization for this position.No agencies please. Capital One is
an Equal Opportunity Employer committed to diversity and inclusion
in the workplace. All qualified applicants will receive
consideration for employment without regard to sex, race, color,
age, national origin, religion, physical and mental disability,
genetic information, marital status, sexual orientation, gender
identity/assignment, citizenship, pregnancy or maternity, protected
veteran status, or any other status prohibited by applicable
national, federal, state or local law. Capital One promotes a
drug-free workplace. Capital One will consider for employment
qualified applicants with a criminal history in a manner consistent
with the requirements of applicable laws regarding criminal
background inquiries, including, to the extent applicable, Article
23-A of the New York Correction Law; San Francisco, California
Police Code Article 49, Sections 4901-4920; New York City's Fair
Chance Act; Philadelphia's Fair Criminal Records Screening Act; and
other applicable federal, state, and local laws and regulations
regarding criminal background inquiries.If you have visited our
website in search of information on employment opportunities or to
apply for a position, and you require an accommodation, please
contact Capital One Recruiting at 1-800-304-9102 or via email at .
All information you provide will be kept confidential and will be
used only to the extent required to provide needed reasonable
accommodations.For technical support or questions about Capital
One's recruiting process, please send an email to Capital One does
not provide, endorse nor guarantee and is not liable for
third-party products, services, educational tools or other
information available through this site.Capital One Financial is
made up of several different entities. Please note that any
position posted in Canada is for Capital One Canada, any position
posted in the United Kingdom is for Capital One Europe and any
position posted in the Philippines is for Capital One Philippines
Service Corp. (COPSSC).
Keywords: Capital One, Cedar Hill , Distinguished Engineer - Data Architect, Engineering , Cedar Hill, Texas
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