Senior Data Engineering Manager, Platform & Data Mesh

Next Frontier Capital; Dublin; On-site; EUR 120,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Senior Manager of Data Engineering within Enterprise Platforms to lead teams delivering onboarding of enterprise data and scalable pipelines on the Palmos platform.

You will provide technical leadership and align with data mesh principles to enable analytics, reporting, and AI/ML use cases across the firm, while driving governance, security, and best practices across multiple teams.

Qualifications

• Experience leading and scaling data engineering teams and managing delivery portfolios.
• Hands-on experience with Databricks, Spark/PySpark, Python, and SQL.
• Strong understanding of modern data architectures (lakehouse, data mesh, distributed systems).

Responsibilities

• Provide overall direction, oversight, and coaching for teams of data engineers delivering data onboarding and pipeline solutions.
• Lead onboarding of enterprise datasets into Palmos, enabling standardized ingestion, transformation, and publishing of curated data assets.
• Own delivery of scalable data pipelines and workflows using Databricks, Spark, and cloud-native technologies.
• Ensure alignment to data mesh principles, including domain ownership, self-service enablement, and federated governance.
• Drive collaboration across platform, domain, governance, and business teams to execute a complex book of work.
• Define and enforce best practices for data engineering, including data modeling, quality, observability, pipeline reliability, and adoption of platform capabilities and reusable frameworks to improve efficiency.
• Implement data security, entitlements, and governance controls to ensure protection of enterprise data.
• Identify risks, dependencies, and delivery challenges and elevate as needed to ensure successful execution.
• Enable downstream analytics, reporting, and AI/ML use cases through trusted, high-quality data.
• Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establish measurable expectations (e.g., throughput, defect reduction, reliability) and ensure consistent validation, security, resiliency, and reuse of proven patterns.

Skills

Leadership

Databricks

Spark/PySpark

Python

SQL

Data mesh

Cloud AWS

CI/CD

Governance

Stakeholder influence

Job description

JPMorganChase is seeking a Senior Manager of Data Engineering within Enterprise Platforms to lead teams delivering onboarding of enterprise data and scalable pipelines on the Palmos platform.

You will provide technical leadership and align with data mesh principles to enable analytics, reporting, and AI/ML use cases across the firm, while driving governance, security, and best practices across multiple teams.