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Senior Director of Data Engineering

Capital One, Chicago, Illinois, United States, 60290

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Join Capital One as a Senior Director of Data Engineering in our Credit Card Technology Data Engineering Team, where you will shape the future of financial services. We manage and utilize vast amounts of real-time and batch data, impacting everything from fraud detection models to personalized reward systems and compliance reporting. As a leader in this role, you will architect reliable systems that influence millions of customer experiences and safeguard billions in transactions, collaborating across disciplines like ML Scientists, Product Managers, and Business Analysts to solve complex challenges using innovative cloud technologies like Snowflake, Kafka, and AWS. In this dynamic role, you will attract and recruit top talent while applying your technical expertise to create customer-oriented solutions. Success requires an innovative mindset, a proven record of delivering next-generation software and data products, and a passion for customer value through automation, machine learning, and predictive analytics. Our Senior Directors Are: Technologists:

Strong engineering background with a swift learning ability and deep understanding of our solutions, embodying a DevOps mindset.

Effective Communicators:

Skilled listeners and collaborators with senior leaders, peers, and teams.

Partnership Attitude:

Build robust partnerships that keep the team at the forefront of industry solutions.

Curious:

Engage with a hands-on, collaborative approach.

Passionate:

Infuse energy and enthusiasm into your work and the organization.

Bold:

Proven track record of smart risk-taking and leading through change.

Achievers:

Consistently meet or exceed team and individual goals.

You Will: Lead and develop multiple teams of product-focused software and data engineers.

Embrace and explore emerging technologies and open-source products across all platforms.

Modernize our existing tech stacks and data platforms.

Collaborate to identify opportunities for automation and machine learning.

Partner with architects, product owners, and engineers to implement new applications.

Work with Agile teams to design, develop, test, implement, and support technical solutions.

Lead the deployment of new and existing applications in AWS and provide ongoing operational support.

Conduct design and code reviews to maintain compliance with standards.

Basic Qualifications: Bachelor's Degree

9+ years of experience in software engineering or data engineering.

7+ years of people management experience.

3+ years of experience with Big Data and data streaming.

3+ years of experience with cloud-based data platforms (AWS, Azure, GCP).

Preferred Qualifications: Master's Degree

10+ years of experience in software engineering or data engineering.

5+ years in Data Governance, Platforms, Standardization, and Modeling.

3+ years of experience developing a Data Architecture function.

3+ years with Data Lake Infrastructure, Warehousing, and Analytics tools.

3+ years of AWS experience.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The role offers a competitive salary based on location. Full-time annual salaries range from $280,600 to $384,200, depending on location. This position also offers performance-based incentives, including cash bonuses and long-term incentives. Capital One provides a comprehensive benefits package supporting total well-being. Eligibility varies based on employment status and level. We are an equal opportunity employer committed to non-discrimination in compliance with applicable laws. We promote a drug-free workplace and are open to considering qualified applicants with a criminal history per relevant regulations. If you need accommodation during the application process, please reach out to Capital One Recruiting at the provided email. Capital One is made up of various entities; candidates should note the specific entity pertaining to the job location.