Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community banking in Data Technology space, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributio... more details
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community banking in Data Technology space, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data
Designs and delivers trusted data search, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Build Observability & alerting setup for logs, traces and metrics
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on data architecture concepts and 5+ years applied experience
Experience delivering data architecture and system designs, data engineer, testing, and operational stability
Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e.g., data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc.)
Understanding of database design concepts (Pluggable DB’s) and data modeling for relational or nonrelational databases such as RDBMS (Oracle/Postgres), No SQL (MongoDB, Cassandra) or NewSql (Cockroach DB) and search DB’s like Elasticsearch incorporating multi-master across multi-regions
Understanding of data design & modeling principles as well as architecture patterns such as data lake, lakehouse, data mart, data fabric and data mesh with experience in Data migrations and Open/Linked data media types such as RDF, Turtle, JSON-LD will be useful
Experience with deploying to public and/or private cloud ideally with multi-cloud experience, ideally Cloud agnostic (Snowflake or another public cloud) and Active/Active across region designs, AWS Solution Developer, DevOps, FinOps Certificates etc. is a plus
Experience in one or more big data processing frameworks such as Spark, Flink, Storm etc. with stream processing experience using Kafka
Understand the power of AI/ML against appropriate data to drive operational excellence. Experience with Docker and Kubernetes
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
Proactive, team player, and problem-solver
Previous experience in handling large-scale systems design. Knowledge of web services, like API, REST, and RPC
AWS certifications - Developer Associate or any additional professional certifications
Practical experience in machine learning/AI with Python development a big plus. Knowledge of architecture assessments frameworks, e.g. Architecture Trade off Analysis
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