Distinguished Engineer, Data Architect Salisbury, MD

Overview

Distinguished Engineer, Data Architect position at Capital One Bank.

Location:

Salisbury, MD.

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 Risk Management functions. This role helps shape the Risk Management Data domains that standardize data assets and data products.

Distinguished Engineers are individual contributors who strive to bring diverse thought to problem solving. At Capital One, diversity of thought strengthens our ability to influence, collaborate, and provide 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 transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks and automatically detect issues before they impact our business, our customers, or our communities.

• Define and implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and high-quality data for insights and downstream consumption.

• 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 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 business strategy, value propositions, priorities and success criteria.

• Hands-on experience with AWS Cloud data technologies including RDS, Dynamo
  
  DB, 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 Delta Lake 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.

• 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)

• 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. Salaries for part-time roles will be prorated based upon the agreed-upon number of hours to be regularly worked.

McLean, VA: $263,900 - $301,200 for Distinguished Engineer;
New York, NY: $287,800 - $328,500 for Distinguished…