Lead Software Engineer (Databricks)

JPMorganChase; Dublin; On-site; EUR 120,000 - 170,000; Full time

Job summary

JPMorgan Chase in Ireland is seeking a Manager of Software Engineering within the Employee Platforms division to lead and inspire talent, deliver secure, scalable technology solutions, and guide the technical direction of projects. You will develop software components and collaborate with cross-functional teams to shape our platform strategy.

You will work with remote and distributed teams, drive data integration initiatives, and mentor engineers while maintaining high standards for reliability

Qualifications

• Proven track record leading data engineering teams.
• Hands-on with AWS data warehousing and Spark pipelines.
• Experience building streaming data applications with Kafka.
• Strong CI/CD experience for cloud deployments.
• Knowledge of data modeling and warehousing concepts.
• Ability to learn new tech quickly in dynamic environment.

Responsibilities

• Manage data integration and analysis across diverse systems.
• Build extensible data acquisition and integration solutions to meet client requirements.
• Implement processes to extract, transform, and distribute data from various sources.
• Provide expertise in problem-solving and complex data analysis for BI integration.
• Collaborate with internal product development and cross-functional teams.
• Work with remote and geographically distributed teams to deliver consumable products.

Skills

Big Data Engineering

AWS Data Platforms

Spark (PySpark/Scala)

Kafka streaming

CI/CD (Jenkins, Git, YAML)

Terraform/CloudFormation

Databricks

Java / Spring Boot

SQL / NoSQL (DynamoDB)

Data Modeling / Warehousing

Tools

AWS Data Warehousing

Databricks

Terraform

CloudFormation

Jenkins

Git

Maven

Airflow

Job description

Job Description

At JPMorgan Chase, you'll join a team that values diverse perspectives and encourages bold thinking. We foster a supportive, blame‑free environment where you can take risks, learn, and grow. You'll have the autonomy to work on meaningful projects while receiving mentorship and support. We're excited to see how your unique background and ideas will help shape our future together.

As a Manager of Software Engineering in the Employee Platforms division, you will lead and inspire talent, deliver secure, stable, and scalable technology solutions, design and develop software components, and collaborate with cross‑functional teams to shape the technical direction of projects.

Job Responsibilities

• Manage data integration and analysis across diverse systems
• Build extensible data acquisition and integration solutions to meet client requirements
• Implement processes to extract, transform, and distribute data from various sources
• Provide expertise in problem‑solving and complex data analysis for business intelligence integration
• Collaborate with internal product development and cross‑functional teams
• Work with remote and geographically distributed teams to deliver consumable products

Required Qualifications, Capabilities, And Skills

• Experience in data integration projects using Big Data technologies, preferably in human resources analytics
• Proven ability to manage engineering teams
• Hands‑on experience with AWS Data Warehousing and database platforms (Databricks preferred), including EMR, S3, AWS Glue, Lambda, Apache Airflow, and Infrastructure as Code tools (e.g., Terraform, CloudFormation)
• Proficiency in Spark engineering with PySpark or Scala for scalable data pipelines
• Experience building streaming applications using Kafka
• Strong background in CI/CD using Jenkins, Git, Artifactory, YAML, and Maven for cloud deployments
• Knowledge of Big Data querying tools such as Athena, RDS, and Databricks
• Experience integrating data from various file‑storage formats (Parquet, ORC, Avro) and table formats (Delta Lake, Iceberg)
• Familiarity with Java open‑source tools, API standards, JUnit, Spring Boot, and Swagger
• Experience using AI‑assisted developer productivity tools (e.g., GitHub Copilot)
• Technical expertise in building scalable, high‑performance distributed systems
• Knowledge of Data Warehousing, Data Modeling, Data Lake, and Data Security concepts
• Strong problem‑solving, troubleshooting, and analytical skills
• Excellent communication, presentation, and interpersonal skills
• Experience with Oracle/SQL and NoSQL data stores such as DynamoDB
• Ability to quickly learn new technologies in a dynamic environment

Preferred Qualifications, Capabilities, And Skills

• Experience leading data integration projects in large, complex organizations
• Advanced knowledge of cloud‑based data solutions
• Familiarity with emerging technologies in data engineering and analytics
• Demonstrated ability to mentor and develop engineering talent
• Experience working in agile development environments
• Strong track record of delivering innovative solutions
• Commitment to fostering an inclusive and collaborative team culture

We are an equal‑opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.