Lead Data Engineer - Data Transformation (Modeling and Architecture)

Lead Data Engineer - Data Transformation (Modeling and Architecture) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast‑paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Design and maintain comprehensive data models—spanning conceptual, logical, and physical layers—to ensure scalable architecture and high data integrity across enterprise systems. Architect and implement robust data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support diverse analytical and operational requirements. Support high-performance data pipelines and complex transformations that utilize SQL, Spark, and Python to process large-scale datasets efficiently. Define and enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability. Translate complex technical concepts into actionable business insights, working independently to lead initiatives and collaborate with stakeholders to meet organizational goals. Contribute to the evolution of the data ecosystem by designing AI‑ready architectures. Collaborate with and across Agile teams to design, develop, implement, and support technical solutions. Work with a team of developers with deep experience in machine learning, AI, distributed microservices, and full‑stack systems. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community. Collaborate with digital product managers, and deliver robust cloud‑based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. Basic Qualifications: Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 4+ years of experience in Data Architecture / Data Modeling 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real‑time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Employment Authorization: At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. 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 View phone number on click.appcast.io or via email at View email address on click.appcast.io . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. #J-18808-Ljbffr Capital One