Center 1 (19052), United States of America, McLean, Virginia

Distinguished Engineer, Risk Management Data Architect

Capital One is looking for a Distinguished Engineer with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of a high performance data ecosystem that supports real-time, intelligent experiences to enable our Risk Management functions. In this role, you will help shape the Risk Management Data domains that will drive our journey towards standardized data assets and data products.

Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.

This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities.

Key Responsibilities:
Define and Implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and to ensure high quality data for gaining insights / downstream consumptions

Lead the creation of data models and ontologies to standardize data definitions, relationships and semantics across systems

Collaborate with extended teams and stakeholders to establish data standards, metadata management practices and data quality frameworks

Design scalable architectures that integrate various data sources, systems, and platforms while minimizing duplication

Partner with engineering, data analysis, data science and business teams to align data solutions with business needs. Mentor technical teams in data architecture best practices

Develop comprehensive architectural documentation and communicate data architecture principles to both technical and non-technical stakeholders

Conduct exploratory data analysis to elucidate deficiencies and opportunities with tangible evidence

Partner with other Distinguished Engineers across the enterprise to identify and foster investments in shared data services and platforms

Engage with senior business product leads to understand the business strategy, value propositions, relative priorities and criteria for success.

What skills do you need to have:
Hands on experience with AWS Cloud data technologies including RDS, DynamoDB, S3 and Glue ETL

Experience designing and implementing event based stream processing solutions using technologies such as Kafka, Kinesis, Spark and Flink

Ability to design and implement high availability, multi-region data replication for mission critical applications

Experience designing and implementing data management solutions that enable Data Quality, Reference Data Management, and Metadata Management.

A track record of designing and implementing end-to-end data pipelines supporting both production and analytic use cases

Comfortable coding with Python or Scala and proficient in SQL

In-depth understanding of AVRO, Parquet and DeltaLake data formats

Background using multiple data storage technologies including relational, document, key/value, graph and object stores

Demonstrated ability to partner with internal product and intent owners to help define requirements and outcomes for data-focused initiatives

Ability to decompose large problems and execute smaller, manageable bodies of work to demonstrate continuous architecture delivery

Understanding of machine learning and AI data infrastructure needs

Basic Qualifications:
Bachelor’s degree

At least 7 years of experience in Data Architecture and Data Engineering

At least 7 years of Data modeling and platform design

At least 2 years of experience in cloud computing (building applications in AWS )

Preferred Qualifications:
Bachelor's or Master's Degree in Computer Science or a related field

At least 2 years of experience with ontology standards for defining a domain

At least 2 years of experience using Python, SQL or Scala

At least 1 year of experience deploying machine learning models

Experience implementing knowledge graphs

Familiarity with Industry standards related to Data

Experience with data mesh, data lakehouse architectures and real-time data pipelines

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

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the

Capital One Careers website

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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

RecruitingAccommodation@capitalone.com

. 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

Careers@capitalone.com

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).

Center 1 (19052), United States of America, McLean, VirginiaDistinguished Engineer, Risk Management Data Architect Capital One is looking for a Distinguished Engineer with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of a high performance data ecosystem that supports real-time, intelligent experiences to enable our Risk Management functions. In this role, you will help shape the Risk Management Data domains that will drive our journey towards standardized data assets and data products. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. Key Responsibilities: <ul> <li>Define and Implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and to ensure high quality data for gaining insights / downstream consumptions </li> <li>Lead the creation of data models and ontologies to standardize data definitions, relationships and semantics across systems </li> <li>Collaborate with extended teams and stakeholders to establish data standards, metadata management practices and data quality frameworks </li> <li>Design scalable architectures that integrate various data sources, systems, and platforms while minimizing duplication </li> <li>Partner with engineering, data analysis, data science and business teams to align data solutions with business needs. Mentor technical teams in data architecture best practices </li> <li>Develop comprehensive architectural documentation and communicate data architecture principles to both technical and non-technical stakeholders </li> <li>Conduct exploratory data analysis to elucidate deficiencies and opportunities with tangible evidence </li> <li>Partner with other Distinguished Engineers across the enterprise to identify and foster investments in shared data services and platforms </li> <li>Engage with senior business product leads to understand the business strategy, value propositions, relative priorities and criteria for success. </li> </ul>What skills do you need to have: <ul> <li>Hands on experience with AWS Cloud data technologies including RDS, DynamoDB, S3 and Glue ETL </li> <li>Experience designing and implementing event based stream processing solutions using technologies such as Kafka, Kinesis, Spark and Flink </li> <li>Ability to design and implement high availability, multi-region data replication for mission critical applications </li> <li>Experience designing and implementing data management solutions that enable Data Quality, Reference Data Management, and Metadata Management. </li> <li>A track record of designing and implementing end-to-end data pipelines supporting both production and analytic use cases </li> <li>Comfortable coding with Python or Scala and proficient in SQL </li> <li>In-depth understanding of AVRO, Parquet and DeltaLake data formats </li> <li>Background using multiple data storage technologies including relational, document, key/value, graph and object stores </li> <li>Demonstrated ability to partner with internal product and intent owners to help define requirements and outcomes for data-focused initiatives </li> <li>Ability to decompose large problems and execute smaller, manageable bodies of work to demonstrate continuous architecture delivery </li> <li>Understanding of machine learning and AI data infrastructure needs </li> </ul>Basic Qualifications: <ul> <li>Bachelor’s degree </li> <li>At least 7 years of experience in Data Architecture and Data Engineering </li> <li>At least 7 years of Data modeling and platform design </li><li> At least 2 years of experience in cloud computing (building applications in AWS ) </li></ul> Preferred Qualifications: <ul> <li>Bachelor's or Master's Degree in Computer Science or a related field </li> <li>At least 2 years of experience with ontology standards for defining a domain </li> <li>At least 2 years of experience using Python, SQL or Scala </li> <li>At least 1 year of experience deploying machine learning models </li> <li>Experience implementing knowledge graphs </li> <li>Familiarity with Industry standards related to Data </li> <li>Experience with data mesh, data lakehouse architectures and real-time data pipelines </li> </ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com 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).

Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities
1- Work closely with the client and teaming partners to gather and review informtion to formulate an action plan for the client
2- Build strong client relationships to understand their business and become a trusted partner
3- Identify areas within the client environment to grow IBM business
4- Continue to maintain and update skills based on new technological innovations
5- Lead technical solution discussions with clients and peers.

Required Technical and Professional Expertise
Provides experience with:
• Reviews of legacy data flows and models undertaking analysis to propose rationalization of data in accordance with NATO policies and initiatives.
• Elicits and documents artifacts including conducting impact assessment and developing trace matrices.
• Organizes and shares relevant data, documents and information including references, architectures, policies, reports and regulatory requirements.
• Applies knowledge to iterative drafts of governance model artifacts driven by evidence and structure for future exploitation.
• Collects and analyzes strategic level data using PESTLE or alternative and agreed upon methodology.
• Collect, analyze and upload data from relevant documents and information to the CAP DEV Portfolio Management Office and as necessary to other knowledge managemnt portals.
• Contribute to the production of Common Funded Capability Development Model artifacts including development of Operational Requirements Statements, Capability Requirements Briefs, Capability Programmimng Plan for CES and when required, other areas of Digital Backbone.
• Assist with preparation of and participate in discussions, meetings and workshops as necessary, including but not limited to the taking of notes and minutes, the presentation materials, read ahead briefs, point papers and collection of reference documents and materials.
• Provide weekly 1 page report of reviews and analysis conducted, including issues identified and inputs recommmendations and solutions to solve the issues.
• Provide presentations and additional documents as required.   The ability to obtain and maintain a security clearance from the US Federal government

Preferred Technical and Professional Expertise
• Experience as a Solution Architect (10 years)
• Experience with data analysis (5 years)
• Excellent communications skills.
• AWS or Azure certified.
• Strong Microsoft Office skills (Word, Excel, Outlook, and Access)
• Good communication skills verbally and in writing and has ability to interface with the customer.
• Experience with hybrid multi-cloud target architecture and operating model
About Business Unit IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

Your Life @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.  Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
About IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location Statement IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:  - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being.
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs.
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law.
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals.
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
US Citizenship Required.

Being You @ IBM IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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