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Data Platform Engineering Strategy Lead – Payments & Transaction Banking jobs in United States
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ScaleneWorks INC · 6 hours ago

Data Platform Engineering Strategy Lead – Payments & Transaction Banking

ScaleneWorks INC is seeking a Data Platform Engineering Strategy Lead for Payments and Transaction Banking. This role focuses on defining and modernizing enterprise data platforms while providing leadership and hands-on engineering oversight to support high-volume, low-latency payments data use cases in a regulated banking environment.
Staffing & Recruiting
Hiring Manager
Keerthy Akshay Kunila
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Responsibilities

Define and own a multi-year data platform engineering roadmap aligned to Payments and Transaction Banking priorities (e.g., real-time payments, ACH, SWIFT, clearing and settlement)
Establish cloud-native and lakehouse-style reference architectures, balancing near-term delivery with long-term modernization and cost efficiency
Translate architecture principles into pragmatic, implementable guidance for engineering and delivery teams
Lead modernization of legacy data warehouses and integration layers into scalable, cloud-ready platforms supporting high-volume transactional data
Enable ISO 20022-aligned data models, enriched payment event data and standardized integration patterns across batch and streaming use cases
Support data quality, reconciliation and lineage requirements critical to payments operations and downstream risk, finance and regulatory reporting
Assess and selectively adopt emerging data and analytics technologies (e.g., distributed query engines, open table formats, streaming frameworks, graph and NoSQL stores)
Evaluate AI/ML use cases for payments data (e.g., anomaly detection, fraud signals, liquidity forecasting) with focus on scalability, risk and value realization
Define platform patterns for ML lifecycle management (MLOps) and secure integration into enterprise data platforms
Sponsor and govern proofs of concept, ensuring clear success criteria, engineering guardrails and alignment with enterprise standards
Industrialize validated solutions into reusable accelerators, templates and patterns
Quantify business impact and ROI to support prioritization and scaling decisions
Ensure alignment with enterprise data governance, metadata, lineage and data quality standards
Embed regulatory and conduct-risk considerations (e.g., data privacy, auditability, model risk) into platform and solution design
Promote responsible AI and controlled technology adoption in regulated payments environments
Act as a trusted advisor to payments business leaders, technology teams and risk/compliance stakeholders
Drive data literacy, best-practice adoption and engineering standards across distributed teams
Influence platform investment and delivery decisions through clear articulation of trade-offs, costs and benefits

Qualification

Data Platform StrategyCloud-native ArchitectureAI/ML EnablementPayments Data ModernizationGovernance & ComplianceData Quality ManagementMLOpsStakeholder EngagementData Literacy Promotion

Required

10+ years of experience in data platform engineering and strategy
Experience in defining and owning a multi-year data platform engineering roadmap
Ability to establish cloud-native and lakehouse-style reference architectures
Experience in translating architecture principles into pragmatic, implementable guidance
Experience in leading modernization of legacy data warehouses and integration layers
Knowledge of ISO 20022-aligned data models and standardized integration patterns
Experience in supporting data quality, reconciliation, and lineage requirements
Ability to assess and adopt emerging data and analytics technologies
Experience in evaluating AI/ML use cases for payments data
Knowledge of platform patterns for ML lifecycle management (MLOps)
Experience in sponsoring and governing proofs of concept
Ability to industrialize validated solutions into reusable accelerators, templates, and patterns
Experience in quantifying business impact and ROI
Knowledge of enterprise data governance, metadata, lineage, and data quality standards
Experience in embedding regulatory and conduct-risk considerations into platform design
Ability to promote responsible AI and controlled technology adoption
Experience in stakeholder engagement and enablement

Company

ScaleneWorks INC

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1200 + people strong organization with 3 primary business units - Consulting, Recruitment and Technology.

Funding

Current Stage
Early Stage

Leadership Team

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Nisha Mehra
Talent Acquisition Partner
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Company data provided by crunchbase