Senior Lead Data Engineering

You have the opportunity to unleash your full potential at a world-renowned company and take the lead in shaping the future of technology.

As a Senior Manager of Data Engineering at JPMorganChase, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other data users within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

• Provides overall direction, oversight, and coaching for a team of entry-level to mid-level data engineers that work on basic to moderately complex tasks
• Makes strategic decisions that influence teams’ resources, budget, tactical operations, and implementation of processes and procedures
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• 7+ years applied experience. In addition, 5+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Experience leading teams of data engineers.

• Experienced in SQL, with the ability to design and optimize complex queries and database structures.

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

• Ability to guide and coach teams in order to achieve goals aligned to strategic initiatives.
• Experience hiring, developing, and recognizing talent.
• In-depth knowledge of the financial services industry and their IT systems.

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

• Proficient in Python to effectively meet future and evolving data needs, while adeptly tackling complex data logic challenges and designing sophisticated workflows for problem-solving.

• Drive projects efficiently using extensive experience with tools like JIRA and Confluence, demonstrating agility and adaptability to transition swiftly between projects and meet evolving demands.