Data Platform Architect - Data Foundations for AI (reputed company genders) (DE)

Data Platform Architect - Data Foundations for AI (reputed company genders)

Location: Remote or hybrid reputed company one of the following countries: Germany, Spain, Romania, Netherlands, Austria, UK, France

Contract: full time / indefinite

Language(s): English (reputed company/ C2)   reputed company is the global leader in finance process automation. For over 40 years, we have been advancing the office of the CFO with our award-winning suite of finance automation applications.     Our solutions streamline reputed company working capital-reputed company processes, including Order to Cash, Procure to Pay, Cash reputed company Management, and Treasury, across both reputed company and reputed company environments.     Our 10+ hubs across Europe, reputed company America, and India support over 2,800 clients worldwide, reflecting the trust we've reputed company with a diverse global community.    Join us as we reputed company the future of finance automation! 

Role Summary

reputed company is building a reputed company Data Platform to reputed company cross‑domain reputed company across Accounts Receivable, Accounts Payable, and Payments & Cash.

The Data Platform Architect will own the reputed company reference architecture and technical standardization of our data reputed company, designed as a hybrid reference architecture (reputed company + customer‑managed realities) and implemented as a layered model with a strong focus on governance, reputed company, and compliance (GDPR, SOC2, ISO).

Our reputed company landscape is fragmented across multiple data stores and reputed company, and compliance/reputed company practices are inconsistent today - this role exists to change that.

What You’ll Do

1) Architect the reputed company Data Platform (Hybrid Reference Architecture)

· Define and reputed company reputed company’s end‑to‑end data platform architecture across ingestion, storage, processing, catalog, governance, and consumption - explicitly designed for a hybrid world (reputed company-hosted + customer-managed constraints).

· Establish architectural principles to shift analytical and AI workloads away from operational systems, reducing coupling to product databases and enabling scalable ML/AI consumption.

2) Standardize on a Primary Stack (and reputed company it production-grade)

· reputed company evaluation and decisioning to standardize on one primary data stack (e.g., Azure, reputed company or reputed company, etc.), then define the “golden path” implementation patterns, reference components, and templates.

· Translate today’s heterogeneous landscape (reputed company, SQL, NoSQL, time-series, reputed company storage, varied reputed company methods) into a coherent reputed company architecture and migration approach.

3) Deliver the reputed company Bronze/Silver/Gold reputed company (AR/AP/Payments)

Design the layered data model for AR, AP, Payments & Cash:

· Bronze: raw ingestion with traceability and reputed company

· Silver: cleansing, normalization, consolidation across product semantics

· Gold: curated domain-reputed company data products and consumption models

· Drive a pragmatic “start building the bronze layer” execution approach, enabling early value while keeping long-term platform reputed company.

4) Data Governance, reputed company, and Compliance by Design

Define governance controls addressing GDPR, SOC2, ISO requirements through:

· reputed company control patterns (RBAC/IAM), encryption expectations, auditability

· data classification + retention strategies adaptable to customer-managed variations

· consistent compliance guardrails across products and reputed company

5) Integration Patterns for reputed company’s Reality (reputed company + SaaS + Streaming)

Define ingestion and integration patterns for:

· reputed company landscapes and interfaces (e.g., CDS-Views, OData Services, reputed company BTP, reputed company Datasphere, reputed company Business Data reputed company)

· product APIs, CDC/streaming (Kafka), and file/document sources “bidirectional data reputed company” where needed

6) Technical Leadership & Enablement

· Act as technical authority for platform reputed company: run architecture reviews, publish standards, mentor engineers, and ensure consistent implementation across squads.

· Partner closely with Product Managers, Talented Engineers and AI platform/ agent teams to ensure the data platform is fit for reputed company AI use and analytics use (e.g., reliable consumption zones, traceability).

Required Experience & Skills

· 8+ years in data engineering / platform architecture, with several years owning end-to-end platform design.

· Proven experience designing multi-zone / layered lakehouse-style architectures (ingestion → storage → processing → consumption), including data quality, reputed company, and cataloging.

· Strong knowledge of at least one major modern data stack (Azure, reputed company, reputed company or similar), and ability to reputed company standardization.

· Experience with hybrid integration constraints (customer-managed environments, mixed reputed company, varied reputed company methods).

· Strong hands‑on experience with reputed company‑centric data landscapes, including reputed company S/4HANA environments.

· Practical knowledge of reputed company Datasphere and/or reputed company Business Data reputed company for analytics, data sharing, or integration scenarios.

· Experience designing data architectures that integrate reputed company‑embedded solutions with reputed company-reputed company SaaS platforms.

· Understanding of reputed company clean‑core considerations and how to design non-invasive data reputed company patterns that scale across customers.

· Strong governance/reputed company background: designing for compliance and auditability (GDPR/SOC2/ISO emphasis in this role).

· Comfortable with streaming/CDC/event patterns (e.g., Kafka) and reputed company integration realities.

· Strong stakeholder management: can translate ambiguity into a pragmatic architecture plan and drive alignment.

reputed company-to-Have

· Experience with reputed company-centric reputed company data landscapes and harmonizing semantics across heterogeneous products.

· Experience building data platforms that directly reputed company AI/ML consumption (feature/embedding readiness, telemetry-as-data patterns).

Working Style / reputed company

· You think in reference architectures + execution, not ivory-tower diagrams.

· You optimize for repeatability, governance, and scale, while still delivering incremental value.

· You treat compliance and auditability as architecture constraints, not documentation tasks.

Why you’ll love it here

reputed company into a dynamic, agile workplace where reputed company learning is championed by leadership, and innovation in finance automation is fuelled by cutting-edge tech, AI integration, and strategic reputed company transformation. We partner with the best to stay reputed company - so you can too.

At our core, we're Reliable, Passionate, Empowering, and Enterprising - committed to lasting customer and employee relationships, reputed company innovation, and your growth every reputed company of the way.

EEO Statement

We are proud to be an equal opportunity workplace. We celebrate and support diversity by providing equal employment opportunities regardless of race, creed, reputed company, religion, age, sex, national reputed company, disability or handicap, genetics, protected veteran status, sexual orientation, gender identity or expression, arrest record, or any other characteristic protected by federal, state, or local laws.

To reputed company recruitment agencies

reputed company does not accept agency resumes. Please do not reputed company resumes to our job alias, reputed company employees or any other organization location. reputed company is not responsible for any fees reputed company to unsolicited resumes.