JP Morgan Chase - Senior Manager - Data Engineering (5-10 yrs)

Sr Manager of Data Engineering

Description:

- We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

- As a Senior Vice President of Data Engineering at JPMorgan Chase within the Data Infrastructure department, your role will be to guide the strategic direction and execution of our data engineering initiatives.

- Your responsibilities will include promoting innovation and excellence in our data infrastructure, ensuring that our data operations are secure, scalable, and in line with the firm's strategic objectives.

- Your leadership will be crucial in enhancing our analytics capabilities and promoting a culture of data-promote decision-making across the organization.

Job responsibilities:

- Architect and oversee the design of complex data solutions that meet diverse business needs and customer requirements.

- Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements.

- Build and manage end-to-end cloud-native data pipelines in AWS, leveraging your hands-on expertise with AWS components.

- Build analytical systems from the ground up, providing architectural direction, translating business issues into specific requirements, and identifying appropriate data to support solutions.

- Work across the Service Delivery Lifecycle on engineering major/minor enhancements and ongoing maintenance of existing applications.

- Conduct feasibility studies, capacity planning, and process redesign/re-engineering of complex integration solutions.

- Help others build code to extract raw data, coach the team on techniques to validate its quality, and apply your deep data knowledge to ensure the correct data is ingested across the pipeline.

- Guide the development of data tools used to transform, manage, and access data, and advise the team on writing and validating code to test the storage and availability of data platforms for resilience.

- Oversee the implementation of performance monitoring protocols across data pipelines, coaching the team on building visualizations and aggregations to monitor pipeline health.

- Coach others on implementing solutions and self-healing processes that minimize points of failure across multiple product features.

Required qualifications, capabilities, and skills:

- Formal training or certification on software engineering concepts and 5+ years applied experience

- Extensive experience in managing the full lifecycle of data, from collection and storage to analysis and reporting.

- Mastery of SQL, including the ability to design and optimize complex queries and database structures.

- Deep understanding of NoSQL databases and their strategic applications within the industry.

- Proven track record in statistical data analysis and the ability to derive actionable insights from complex data sets.

- Experience in leading large-scale data engineering projects and implementing custom solutions to meet business objectives.

- Demonstrated ability to build and manage cloud-native data pipelines in AWS, with hands-on knowledge of AWS components.

Preferred qualifications, capabilities, and skills:

- AWS certifications are an added advantage.

JP Morgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.

Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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