Senior Manager of Software Engineering - Cloud Data Engineering

When you mentor and advise multiple technical teams and move financial technologies forward, its a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorgan Chase within the Firmwide Planning and Analysis - Data Platform Team, 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 functions within the firm. You will deliver high quality, timely, and comprehensive data, in a controlled and standardized manner to reduce risk and total cost of data ownership. We achieve these results by consolidating our processes and people to a single operating model.

Job responsibilities
 Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
 Accountable for decisions that influence teams resources, budget, tactical operations, and the execution 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, equity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills
 Formal training or certification on software engineering concepts and 5 + years of experience in Data Management, Data Integration, Data Quality, Data Monitoring and Analytics experience. In addition should have 5 years of experience leading teams and managing global stakeholders.
 Proven experience as a data engineer with proficiency in Python. Proficiency in SQL and Database development.
 Experience with building Cloud native applications using cloud platforms such as AWS, Azure, GCP (Preferably AWS) and experience in leveraging cloud services for data storage, processing and analytics.
 Working exposure on data integration and handling projects that involves processing huge volume of data.
 Hands-on experience in preparing/integrating the datasets to match to the reporting requirements.
 High level of expertise in SQL, Data Warehousing & Business Intelligence concepts
 Good working knowledge using any database system (both SQL and NOSQL) and experience in creating/maintaining scalable database load process with hands-on experience in framing up Complex SQL Queries and ensuring optimal data storage and retrieval.
 Expertise in working with agile projects and exposure to automated testing / dev ops kind of environments.
 Knowledge of big data technologies such Apache Spark(Preferably Pyspark)
 Strong hands-on experience with containerization technologies like Docker and Kubernetes (EKS).
 Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
 Experience with hiring, developing, and recognizing talent

Preferred qualifications, capabilities, and skills
 General knowledge of financial services industry,