Manager of Software Engineering (Data Lead)

As a Manager of Software Engineering at JPMorgan Chase within the Consumer & Community Banking, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities:

• Provides guidance to immediate team of software engineers on daily tasks and activities


• Sets the overall guidance and expectations for team output, practices, and collaboration


• Anticipates dependencies with other teams to deliver products and applications in line with business requirements


• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements


• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.


• Designs & develops data pipelines end to end using Spark SQL, Java and AWS Services. Utilize programming languages like Java, Python, NoSQL databases, SQL, Container Orchestration services including Kubernetes, and a variety of AWS tools and services.


• Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation

Required qualifications, capabilities, and skills: 

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


• Proficient in all aspects of the Software Development Life Cycle


• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


• Practical cloud native experience


• Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming. 


• Proficient in coding in one or more Coding languages - Java, Python and experience with Relations and No SQL databases.


• Cloud implementation experience with AWS including:
  
  
  
  • AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge
  
  
  • Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD
  
  
  • AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager
  
  

Preferred qualifications, capabilities, and skills: 

• Experience working at code level


• Snowflake knowledge or experience preferred 


• In-depth knowledge of the financial services industry and their IT systems


• Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP