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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Principal - Databricks Platform Engineering Lead (Python) - **Company:** JPMorgan Chase & Co. - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $232,750.0 - $325,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Software Applications, JIRA, Unit Testing, Big Data, Code Review, Information Engineering, Data Infrastructure, Data Systems, Software Debugging, Distributed Systems, Github, Python (Programming Language), Network Control, Scrum Methodology, Software Engineering, Cloud Platform System, Apache Spark, AWS Lambda, Data Lakes, Infrastructure Automation Frameworks, Production Code, Data Analytics, Bitbucket, Data Management, Terraform, Artificial Intelligence Markup Language (AIML), Data Pipelines, Jenkins, Databricks - **Published:** May 15, 2026 - **Apply:** https://dejobs.org/x/x/2101F469188543E98FD47AC89F14AE16/job/ ## About the Role * Formal training or certification on software engineering concepts and 10+ years applied experience * Expert-level proficiency in Databricks platform administration, AWS networking, and infrastructure-as-code with Terraform * Hands-on experience with Python application program development with use of automated unit testing * Hands-on practical experience delivering system design, application development, testing, and operational stability * Hands-on practical experience with terraform development and understanding of terraform enterprise * Hands-on experience with GitHub / Bitbucket code versioning tool, Jenkins build tool and pypi / maven artifactory integrations * Experience in managing product release lifecycle at enterprise level. Preferred qualifications, capabilities, and skills * Strong knowledge of distributed compute frameworks like Spark and how platform-level configurations impact workload performance and reliability * Experience with Agile development processes, as needed (SCRUM/KANBAN) using JIRA. * Experience in Data pipelines using Spark ## Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly., As a Senior Principal Software Engineer at JPMorganChase in Corporate - AIML Data Platforms and the Chief Data & Analytics team, you will bring your deep expertise in Databricks and large-scale data engineering. In this role you will drive the architecture, design, and implementation of advanced data solutions, leveraging Databricks and related technologies to enable business insights and innovation, * Leads the design, build, and troubleshooting of a scalable Databricks/Spark data platform and analytics workloads across cloud environments. * Develops and maintains secure, production-grade Python code; perform code reviews, debugging, and engineering quality improvements across the team. * Owns delivery of scalable data pipelines and analytics solutions on Databricks, applying strong distributed computing and performance troubleshooting practices. * Designs and develops infrastructure automation for the Databricks control plane, including workspace provisioning, account configuration, onboarding/offboarding, and Delta Sharing using Terraform, AWS, and Python Lambdas. * Develops secure, high-quality production code across Terraform modules, Python Lambda functions, and control plane services while reviewing and debugging code across the team. * Leads the architecture of scalable Databricks platform infrastructure, including workspace automation, AWS networking, and control plane APIs enabling self-service for downstream teams. * Define and implement best practices for data engineering, data lake architecture, and distributed computing * Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools. * Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems * Adds to team culture of diversity, opportunity, inclusion, and respect * Mentor and guide technical teams, fostering a culture of continuous learning and excellence in software engineering practices ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Enterprise-Cloud-Native - Fast-Paced Development & Deployment in a Highly Secure Banking Environment](https://www.wearedevelopers.com/videos/671-enterprise-cloud-native-fast-paced-development-deployment-in-a-highly-secure-banking-environment) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)