Job Description
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 global financial technology company provides unified payments and financial infrastructure for businesses worldwide. Its platform combines proprietary technology and software to support business accounts, payments, spend management, treasury, embedded finance, and other financial services at global scale.
Key Responsibilities
- Own the architecture, delivery, and adoption of the Data → Knowledge → Skills platform.
- Design and scale governed data, semantic, and operational layers across regions and business use cases.
- Establish high-quality, well-modeled datasets with strong lineage, observability, and regional compliance.
- Develop a semantic layer that provides standardized business metric definitions, entity relationships, contextual documentation, and domain knowledge.
- Build reusable operational capabilities including analytical workflows, agent-callable tools, automated pipelines, APIs, and transformation frameworks.
- Enable both human analysts and AI agents to access and interpret trusted organizational data consistently.
- Establish architectural patterns that satisfy regional data localization and residency requirements.
- Maintain a unified global data model while accommodating local regulatory and compliance requirements.
- Partner closely with Data Science, AI Engineering, Product, Risk, and other technical stakeholders.
- Enable rapid experimentation, intelligent automation, and reliable data-driven decision-making.
- Drive platform adoption and improve the developer experience for technical users and business stakeholders.
- Establish measurable platform impact through clear service-level expectations and operational standards.
- Ensure strong data governance, privacy, security, lineage, and regulatory controls across the platform.
- Transform raw organizational data into durable knowledge and deployable capabilities that can support AI agents and internal teams.
Required Qualifications
- 15+ years of experience in data engineering or platform engineering.
- 5+ years of experience leading engineering teams in complex, multi-region environments.
- Proven experience architecting and scaling modern data platforms beyond traditional data storage.
- Experience developing semantic layers, metadata systems, knowledge graphs, or related data intelligence capabilities.
- Strong expertise in data modeling, including transactional, event-driven, dimensional, and feature-table architectures.
- Strong understanding of data quality, lineage, observability, and governance practices.
- Experience designing and operating governed semantic layers with standardized and auditable business metric definitions.
- Proven track record of building reusable programmatic capabilities on top of data platforms.
- Experience developing APIs, orchestration frameworks, analytical workflows, or agent-callable tools.
- Deep familiarity with modern lakehouse architectures, particularly Databricks environments.
- Experience designing and implementing regional data localization and data residency strategies.
- Ability to maintain a unified global data model while satisfying regional regulatory requirements.
- Strong understanding of data governance, privacy, and regulatory controls across multiple jurisdictions.
- Experience working with Data Science, AI Engineering, Product, Risk, and other cross-functional teams.
Preferred Experience
- Experience operating a data platform as a product.
- Proven ability to drive platform adoption across technical and business teams.
- Strong focus on developer experience and platform usability.
- Experience establishing and managing SLAs and SLOs.
- Experience measuring platform performance and business impact.
- Strong understanding of AI agents, analytics platforms, and real-time decisioning systems.
- Experience translating complex data into reusable knowledge and operational capabilities.
- Strong architectural and strategic thinking combined with hands-on technical expertise.
- Demonstrated ability to lead innovation while maintaining strong governance, security, and compliance standards.
Disclaimer
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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