Sr Principal Data Architect jobs at Jpmorgan in Ireland, Dublin

Elevate your career by working with new AI and machine learning technologies, focusing on delivering impactful solutions. We provide opportunities to help you reach your full potential, offering the support you need to achieve your career goals. The Employee Platforms technology team is excited to invest in Dublin, establishing an engineering hub focused on the growth and application of innovative technologies to enhance the experience of our 300k+ employees.

As a Data Engineer at JP Morgan Chase within the Employee Platforms team, you will design, build, and maintain scalable data pipelines and infrastructure to support our data-driven initiatives. Your expertise in AWS, Databricks, and graph database technologies will be crucial in delivering solutions that meet business needs. You will collaborate with data scientists, analysts, and other stakeholders to ensure data quality and consistency, while staying up-to-date with industry trends and technologies.

Job Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS services, Databricks, and graph databases.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Implement data integration and transformation processes to ensure data quality and consistency.
• Optimise and manage data storage solutions, ensuring efficient data retrieval and processing.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Stay up-to-date with the latest industry trends and technologies in data engineering and make recommendations for improvements.
• Document data engineering processes, workflows, and best practices.

Required Qualifications, Capabilities, and Skills:

• Formal training or certificate in Computer Science, Information technology and proficient advanced experience.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in AWS services such as S3, Lambda, Glue, and Redshift.
• Experience with Databricks for data processing and analytics.
• Familiarity with thatDot Streaming Graph for real-time data processing.
• Proficiency in programming languages such as Python for scripting and automation.
• Strong SQL skills for querying and managing relational databases.
• Experience with Cypher for querying graph databases.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications, Capabilities, and Skills:

• Experience with data modelling and ETL processes.
• Knowledge of big data technologies such as Apache Spark and Kafka.
• Familiarity with data visualization tools and technique

Job Responsibilities

• Collaborate with business partners, finance, and domain experts to understand business problems and develop new strategies.
• Consult on experimental design and data collection, ensuring compliance with GDPR regulations and best practices in data handling and storage.
• Interpret and present findings to stakeholders and senior management in a clear, logical, and persuasive manner, using effective visualizations.
• Perform ad hoc analysis to provide actionable insights on product performance, customer behavior, and market trends.
• Collaborate with data engineers, machine learning engineers and dashboard developers to automate and optimize business processes.
• Identify unexplored opportunities to change how we do business using data.
• Lead innovation projects to drive advanced analytics.
• Maintain a rigorous control environment to ensure accurate and timely results, with a strong emphasis on compliance with GDPR regulations.

Required Qualifications, Capabilities, and Skills

• 5+ years of experience in applying statistical methods to real-world problems.
• Experience with relational databases, optimizing SQL to pull and summarize large datasets, report creation, and ad-hoc analyses.
• Experience with business intelligence analytics and data preparation tools such as Alteryx, Tableau, Python, etc.
• Leverage expertise in big data and statistics to tackle open-ended business challenges, using predictive analytics and data modeling to support business growth and innovation.
• Bachelor's degree in a quantitative discipline (e.g., Data Science, Mathematics, Statistics, Physics, Engineering, Economics, Finance).
• Ability to understand business context and identify opportunities in data.
• Experience in a dynamic, agile environment within a geographically distributed team.
• Experience with web analytics tools (e.g., Google Analytics, Adobe).
• Highly organized with the ability to prioritize multiple tasks.
• Excellent communication skills and ability to build relationships with key stakeholders.
• Fluency in GDPR regulations and data handling practices, with a strong understanding of how to manage and store data appropriately within the EU.

Preferred Qualifications, Capabilities, and Skills

• Intellectual curiosity, strategic thinking, and ability to solve unstructured problems independently.
• Familiarity with machine learning.
• Experience in marketing analytics.

Elevate your career by working with new AI and machine learning technologies, focusing on delivering impactful solutions. We provide opportunities to help you reach your full potential, offering the support you need to achieve your career goals. The Employee Platforms technology team is excited to invest in Dublin, establishing an engineering hub focused on the growth and application of innovative technologies to enhance the experience of our 300k+ employees.

As a Machine Learning Engineer within the JPMorgan Chase team, you will design, implement, and deploy machine learning models that adhere to our global technology standards and firm governance requirements. Collaborate closely with machine learning scientists, data scientists, software engineers, and product teams to integrate and scale machine learning solutions that promote significant business impact. Your responsibilities include designing and implementing machine learning models, deploying and scaling models to production environments, fine-tuning models for optimal performance, and continuously monitoring model performance.

Job Responsibilities:

• Design and implement machine learning models in collaboration with machine learning scientists, ensuring alignment with global technology standards and firm compliance and governance requirements.
• Deploy and scale models to production environments, ensuring robustness and reliability.
• Fine-tune models for optimal performance and efficiency, addressing any issues that arise.
• Work closely with data scientists, software engineers, and product teams to integrate machine learning solutions into existing systems and workflows.
• Continuously monitor model performance, making necessary adjustments to maintain and improve accuracy and efficiency.

Required Qualifications, Capabilities, and Skills:

• Proficiency in Python.
• Experience with one or more of the following: PyTorch, MLFlow, TensorFlow, or Scikit-learn.
• Strong understanding of software engineering principles and practices, including version control, testing, and code optimization.
• Skills in data preprocessing, feature engineering, and building data pipelines. Experience with Apache Spark, particularly PySpark.
• Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models.

Step into the role of a Client Service Associate within our Commercial & Investment Bank and become an integral part of our clients' success stories. As the primary point of contact, you'll build strong relationships with high-level executives, delivering tailored solutions and upholding the esteemed standards of JP Morgan Chase. With opportunities for career growth and community involvement, join our diverse and innovative global organization to make a meaningful impact in the ever-evolving world of commercial banking.

As a Client Service Associate within our Commercial & Investment Bank, you will play a pivotal role in managing relationships with our clients. Your role will involve resolving client requests and providing comprehensive support for our complex treasury and cash management products and services. With a keen eye for continuous improvement, you will apply innovation and design thinking techniques to enhance the efficiency and resilience of our operating platform. Your role will require you to establish productive relationships with internal stakeholders, leveraging your ability to influence and persuade to drive mutually beneficial outcomes. You will also be expected to demonstrate your data and tech literacy, partnering with Technology and the Business to implement new technology that creates a competitive advantage.

Job Responsibilities

• Manage client relationships, addressing issues that arise with our treasury and cash management products and services, ensuring client satisfaction and retention.
• Apply innovative techniques to enhance the efficiency and resilience of our operating platform, contributing to the continuous improvement of our services.
• Establish and maintain productive relationships with internal stakeholders, to drive mutually beneficial outcomes and adjusting approach based on needs and circumstances.
• Leverage data and tech literacy to collaborate with Technology and Business teams, assisting in the implementation of new technology to create a competitive advantage.
• Participate in project management activities, including planning, execution, and addressing concerns with sponsors and impacted parties, ensuring project objectives are met.

Required qualifications, capabilities and skills

• Minimum of 2 years of experience or equivalent expertise in managing client relationships and/or internal stakeholders
• Demonstrated experience in applying innovative techniques for process improvement, with a focus on enhancing operational efficiency and resilience.
• Proven ability to establish and maintain productive relationships with internal stakeholders, with a track record of driving mutually beneficial outcomes.
• Experience in leveraging data and tech literacy to collaborate with Technology and Business teams, particularly in the implementation of new technology.
• Experience in managing projects, including planning, execution, and addressing concerns with sponsors and impacted parties.
• Advanced analytical and problem solving skills, with the ability to assess situations and develop effective solutions
• Strong written and verbal communication skills
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), with a focus on reviewing Data, reports, and creating presentations to support client service activities

Preferred qualifications, capabilities and skills

• Mentor team members to enhance their skills and foster a collaborative service environment.
• Engage in strategic planning to align client services with organizational goals and client needs.
• Collaborate with cross-functional teams to ensure seamless client service operations
• Build and maintain strong client relationships to support long-term business success.
• Experience in managing projects, including planning, execution, and addressing concerns with sponsors and impacted parties
• Bachelor’s degree and/or equivalent work experience