Lead Software Engineer- Data Platforms
Lead Software Engineer- Data Platforms
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$ 152000 - 215000
1 Vacancy
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank - Digital & Platform Services you play a vital role in an agile team dedicated to enhancing building and delivering reliable market-leading data technology products with a focus on security stability and scalability. As a key technical contributor you will develop essential technology solutions across diverse technical domains supporting various business functions to achieve the firms strategic goals.
Job responsibilities
- Executes creative software & data solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Designs and implements scalable data architectures data modeling ETL processes and data warehousing solutions.
- Understands data governance data quality and data security principles.
- Develops secure high-quality production code and reviews and debugs code written by other engineers
- Leads communities of practice across Data Engineering to drive patterns awareness and use of new and leading-edge technologies
- Adds to team culture of diversity opportunity inclusion and respect
- Integrates large language models (LLMs) into data processing workflows.
- Develops solutions with natural language processing (NLP) techniques and tools.
- Develops and deploys machine learning models for data engineering tasks.
Required qualifications capabilities and skills
Formal training or certification on Data Engineering concepts and 5 years applied experience
Hands-on practical experience delivering data systems design application development testing and operational stability.
- Advanced in one or more big data programming language(s) - Spark PySpark and Kafka.
- Experience in engineering data products using Databricks and/or snowflake technologies.
- Proficient in data pipeline and workflow management tools (e.g. Apache Airflow Flink)
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated proficiency in developing software applications within technical domains such as cloud data artificial intelligence machine learning.
- In-depth knowledge of the financial services industry and data
- Practical cloud native experience with cloud platforms such as AWS Azure or Google Cloud Platform.
Strong collaboration skills to work effectively with cross-functional teams and stakeholders.
Preferred qualifications capabilities and skills
Ability to lead influence and mentor team of data engineers on adopting right technical solutions.
Hands-on experience with cloud services such as S3 IAM Glue EKS ECS Athena
Certifications in Databricks or Snowflake technologies
Employment Type
Full-Time
