Director, Data and Knowledge Platform Engineering

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading global financial technology organization is building a unified payments and financial platform that enables businesses worldwide to manage accounts, payments, spend management, treasury, and embedded finance at scale. With a global presence spanning multiple offices and serving hundreds of thousands of businesses, the company is focused on driving innovation across payments, financial infrastructure, and intelligent automation through advanced technology platforms.

The organization is seeking a Director, Data and Knowledge Platform Engineering to lead the architecture, delivery, and adoption of a governed, reusable Data → Knowledge → Skills platform that powers analytics, AI agents, and real-time decision-making across the business.

This is a product-focused platform leadership role responsible for designing and scaling semantic and operational layers built on top of a modern Data Lakehouse environment. The successful candidate will drive governance, lineage, and platform adoption while enabling both human analysts and AI agents to reason and act consistently across the organization.

Key Responsibilities

• Own the architecture, delivery, and adoption of the organization’s Data → Knowledge → Skills platform.
• Design and scale a governed semantic layer that standardizes business metrics, entity relationships, and contextual knowledge.
• Lead the development of reusable analytical workflows, APIs, automated pipelines, and agent-callable tools.
• Ensure strong data governance, lineage, observability, and quality across all data assets.
• Develop and implement regional and global data localization strategies while maintaining a unified global data model.
• Partner closely with Data Science, AI Engineering, Product, and Risk teams to support intelligent automation and rapid experimentation.
• Establish architectural patterns that satisfy regulatory and compliance requirements across multiple jurisdictions.
• Drive platform adoption by improving developer experience and maintaining measurable service levels and platform reliability.
• Enable AI agents and internal teams to consistently query, reason, automate, and execute against trusted enterprise data.
• Lead engineering teams in building scalable solutions that transform raw data into actionable knowledge and operational capabilities.

Platform Scope

• Data: Governed, well-modeled datasets including transactional records, event streams, dimensional models, and feature tables with strong lineage and compliance controls.
• Knowledge: A semantic layer providing standardized business metrics, entity relationships, and domain knowledge for both human and machine consumption.
• Skills: Operational capabilities including APIs, analytical workflows, orchestration frameworks, automated pipelines, and reusable transformation primitives.

Required Qualifications

• 15+ years of experience in data or platform engineering.
• 5+ years of experience leading engineering teams in complex, multi-region environments.
• Proven experience architecting and scaling modern data platforms that incorporate semantic layers, metadata systems, or knowledge graphs.
• Strong expertise in data modeling, including transactional, event-driven, dimensional, and feature table architectures.
• Experience implementing robust data quality, lineage, and observability practices.
• Demonstrated success designing and operationalizing governed semantic layers with standardized business metrics.
• Experience building reusable, programmatic capabilities such as APIs, orchestration frameworks, analytical workflows, and agent-enabled tools.
• Deep familiarity with modern lakehouse architectures, particularly Databricks environments.
• Experience implementing regional data localization and residency strategies while preserving global consistency.
• Strong understanding of data governance, privacy, and regulatory requirements across multiple jurisdictions.
• Platform-as-product mindset with a focus on adoption, developer experience, SLAs/SLOs, and measurable business impact.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.