Senior Manager, Solution Architecture (Data Architecture)

Senior Manager, Solution Architecture (Data Architecture)

Capital One is hiring a skilled Solutions Architect with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of the People Tech data ecosystem. The successful candidate will be instrumental in establishing a well-governed, global, and frictionless data environment that facilitates rapid insight generation and supports trusted, strategic decision-making. This role will also be a key driver in our journey towards standardized data products and advanced AI/ML capabilities.

This role is part of the People Tech organization. In People Tech, we're focused on delivering exceptional experiences and tech innovations for Capital One's associates and business partners. As a team, we deliver modern engineering capabilities, services, and platforms.

  

Primary 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 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

The successful candidate will:

• Have hands on experience with AWS Cloud data technologies including RDS, DynamoDB, S3 and Glue ETL

• Have experience designing and implementing end-to-end data pipelines supporting both production and analytic use cases

• Have experience designing and implementing data management solutions that enable Data Quality, Reference Data Management, and Metadata Management.

• Be comfortable coding with Python or Scala and proficient in SQL

• In-depth understanding of Parquet, DeltaLake and Iceberg data formats

• Have a background in using multiple data storage technologies including relational, document, key/value, graph and object stores

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

• Will have an understanding of machine learning and AI data infrastructure needs

Basic Qualifications:

• Bachelor's Degree

• At least 6 years of experience in Data Engineering and Data Architecture or Technology Solution design

• At least 4 years of experience in big data technologies 

• At least 2 years of Data modeling and platform design

• At least 2 years of experience creating solutions architectures in a public cloud (AWS, Microsoft Azure, Google Cloud) 

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering or Information Technology

• 9+ years of experience in application development including Python, SQL, Scala, or Java

• 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

• 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Databricks)

• 4+ year experience working on real-time data and streaming applications 

• 4+ years of experience with NoSQL implementation

• 4+ years of data warehousing experience (Redshift or Snowflake) 

• 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