Data Product Engineering Manager
142019-NC-300 South Brevard, Charlotte, United States
Wells Fargo
Committed to the financial health of our customers and communities. Explore bank accounts, loans, mortgages, investing, credit cards & banking services»About this role:
Wells Fargo is seeking a Data Product Engineer Manager (Software Engineering Manager) for the Credit Cards Domain. This role will manage a team of data engineers in delivering data capabilities for the Wells Fargo Credit Cards data product.
In this role, you will:
Lead a high-performing team of data engineers, product managers, and data scientists to drive the development and delivery of data products in the Credit Cards domain.
Oversee the design, architecture, and implementation of data pipelines leveraging the Cloudera Data Platform +, GCP BigLake, GCP BigQuery, Spark, and other data related tooling.
Guide and mentor your team in building scalable and efficient solutions using modern technologies like Apache Spark (Java SDK), Apache Iceberg, Google Dataplex, and dbt+
Collaborate with cross-functional teams, including business stakeholders, to identify and prioritize data product features and initiatives.
Ensure data security, compliance, and best practices are followed within the data ecosystem.
Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
Drive continuous improvement in engineering practices, promoting the adoption of cutting-edge technologies and methodologies.
Participate in code reviews, provide constructive feedback, and ensure the team maintains high-quality standards for data products.
Monitor and optimize the performance, reliability, and cost-effectiveness of the data infrastructure and pipelines.
Communicate complex technical concepts to non-technical stakeholders and leadership, ensuring alignment with business goals.
Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture; for example, cloud readiness, application modernization and data strategy
Function as the technical representative for the product during cross-team collaborative efforts and planning
Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture
Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
Interact directly with third party vendors and technology service providers
Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team
Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products
Required Qualifications:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of Leadership experience
4+ years of experience in data engineering
2+ years in Credit Cards data domain
2+ years hands-on experience with GCP (Google Cloud Platform) including GCP BigLake, BigQuery, and Dataplex
2+ years building and maintaining data pipelines using Apache Spark (Java SDK), Apache Iceberg, and dbt+
2+ years using understanding of data architecture and the Lakehouse pattern
2+ years of experience working with large-scale, distributed data systems and platforms such as Cloudera Data Platform.
2+ years of Java and familiarity with modern data engineering frameworks
Desired Qualifications:
Master's degree in Computer Science, Data Engineering, or a related field.
Experience in the Credit Cards or Financial Services domain.
Expertise in building data solutions for business intelligence and advanced analytics.
Familiarity with machine learning models and their integration into data pipelines.
Strong experience with CI/CD pipelines and automation of data workflows.
Knowledge of data governance and privacy regulations (e.g., GDPR, CCPA).
Proven track record of optimizing cost-performance balance in cloud-native data systems
Job Expectations:
This position offers a hybrid work schedule
Relocation assistance is not available for this position
Locations:
300 S. Brevard St., Charlotte, North Carolina
Posting End Date:
7 Apr 2025*Job posting may come down early due to volume of applicants.
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Banking BigQuery Business Intelligence CI/CD Computer Science Data governance Data pipelines Data strategy dbt DevOps Engineering GCP Google Cloud Java Machine Learning ML models Pipelines Privacy Scrum Security Spark
Perks/benefits: Career development Relocation support
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