Lead Software Engineer - Java/Python, Data Engineering
JPMorgan Chase & Co.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro role, mid-level data engineer with broad skillset increases candidate competition.
Core data engineering skills are transferable, but financial KYC/risk domain adds moderate domain specificity.
Explicit 5+ years plus extensive mandatory technologies and enterprise requirements raise screening strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead the development of secure, scalable data platforms supporting Global KYC and Risk Assessment at JPMorgan Chase.
Own design and delivery of robust, reusable software frameworks and production code for data-intensive applications.
Define engineering standards and architecture practices across teams, mentoring engineers and advising cross-functional teams.
Minimum Requirements
5+ years of applied experience with formal training or certification in software engineering.
Expertise in Python and/or Java programming languages.
Experience with large-scale data processing, microservices, API design, and cloud-native platforms (AWS, Azure, or GCP).
Proficient with relational/NoSQL databases, data lake architectures, and tools like Kafka, Redis, Airflow, and observability tools (Dynatrace, Splunk, Grafana).
Ideal Candidate Profile
Experienced in enterprise-scale system design, development, testing, and operational stability within data engineering domains.
Demonstrates ability to communicate technical solutions effectively to senior leadership.
Familiarity with modern data platforms (Databricks, Snowflake), big data technologies (Spark/PySpark), and AI/ML infrastructure (LLM orchestration frameworks, AWS Bedrock, Azure OpenAI).