We have an exciting and rewarding opportunity for you to take your software engineering career to the next level

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Banking's Global Bank Technology Team, you'll serve as a seasoned member of an agile team to design and deliver trusted market-leading Data Engineering Solutions and Data products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities:

Design and implement scalable data architectures using Databricks at an enterprise-scale. Design and implement Databricks integration and interoperability with other cloud providers such as AWS, Snowflake, Immuta, and OpenAI. Collaborate with data scientists, analysts and business stakeholders to understand requirements and deliver solutions. Develop and maintain data architecture standards, including data product interfaces, data contracts, and governance frameworks. Implement data governance and security measures to ensure data quality and compliance with industry and regulatory standards. Monitor and optimize the performance and scalability of data products and infrastructure. Provide training and support to domain teams on data mesh principles and cloud data technologies. Stay up-to-date with industry trends and emerging technologies in data mesh and cloud computing.

Required qualifications, capabilities, and skills:

Formal training or certification on software engineering concepts and 5+ years applied experience 12+ years applied experience in Data Engineering space using enterprise tools, home grown frameworks and 5+ years of speciality in Databricks implementation from start to end. 5+ years of experience in AWS cloud environment & Databricks. Experience as a Databricks solution architect or tech lead or similar role in an enterprise environment. Hands-on practical experience delivering system design, application development, testing, and operational stability Influencer with a proven record of successfully driving change and transforming across organizational boundaries Ability to present and effectively communicate to Senior Leaders and Executives. Experience in Python, Spark & Streaming (Spark Streaming or KAFKA or Kinesis) is a must Deep understanding of Apache Spark, Delta Lake, DLT and other big data technologies
 

Preferred qualifications, capabilities, and skills:

Databricks and AWS certification Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred. Experience with LLM & AI/ML is preferred.