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The exceptional EY experience. It's yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

US Consulting - AI & Data - Data Architect, Industrials & Energy Sector – Senior
The opportunity
EY is seeking a Data Architect with strong technology and data understanding having proven delivery capability. Lead the design, development, and management of the organization’s data architecture, ensuring scalable, efficient, and secure data solutions that align with business goals and support enterprise-wide data initiatives.

In this role, you will create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes.

Your key responsibilities

Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals.

Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity.

Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment.

Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyse, validate, normalize, and clean data.

Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes.

Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity.

Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.

Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.

Solve complex data problems to deliver insights that help achieve business objectives.

Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.

Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals.

Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms.

Skills and attributes for success

Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing.

Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm.

Hands on experience with major components like Hive, Spark, and MapReduce.

Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB.

Experienced in Hadoop clustering and Auto scaling.

Good knowledge in apache Kafka & Apache Flume.

Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions.

Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies.

Strong business acumen with knowledge of the Industrial Products sector is preferred, but not required.

Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data.

Experience with or knowledge of Agile Software Development methodologies.

Demonstrated understanding and experience using:

Data Engineering Programming Languages (i.e., Python).

Distributed Data Technologies (e.g., Pyspark).

Cloud platform deployment and tools (e.g., Kubernetes).

Relational SQL databases.

DevOps and continuous integration.

AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS).

Databricks/ETL.

IICS/DMS.

GitHub.

Event Bridge, Tidal.

To qualify for the role you must have

Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.

Excellent communicator (written and verbal formal and informal).

Ability to multi-task under pressure and work independently with minimal supervision.

Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.

Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.

Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.

Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity.

Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth.

Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.

Ideally, you’ll also have

Experience in leading and influencing teams, with a focus on mentorship and professional development.

A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.

The ability to foster an inclusive environment that values diverse perspectives and empowers team members.

What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams

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Center 1 (19052), United States of America, McLean, VirginiaDistinguished Engineer, Risk Management Data ArchitectCapital 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>Bachelors 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 EngineerCandidates 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 candidates 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.<div><div><div><div>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 <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</div></div></div></div>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 Citys Fair Chance Act; Philadelphias 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>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, 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).

Data Architect Jobs in Mc Lean, VA

Data Architect Industrials Energy Sector Senior Consulting Location Open
January 1, 2025

Distinguished Engineer Risk Management Data Architect
January 1, 2025

Distinguished Engineer Risk Management Data Architect
December 28, 2024

Quick filters

Top companies

Data Architect Jobs in Mc Lean, VA

Data Architect Industrials Energy Sector Senior Consulting Location OpenJanuary 1, 2025

Distinguished Engineer Risk Management Data ArchitectJanuary 1, 2025

Distinguished Engineer Risk Management Data ArchitectDecember 28, 2024

Quick filters

Top companies

Data Architect Industrials Energy Sector Senior Consulting Location Open
January 1, 2025

Distinguished Engineer Risk Management Data Architect
January 1, 2025

Distinguished Engineer Risk Management Data Architect
December 28, 2024