We are looking for a seasoned Data Architect to lead the design and implementation of advanced, secure, and scalable data ecosystems tailored to the financial services industry.
Missions
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Design modern, cloud-native data architectures to support regulatory, operational, and analytics needs in banking and asset management
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Recommend and implement suitable data Storage models (relational, NoSQL, data lakes) that support both structured and unstructured data at scale
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Develop robust data models and schemas that enhance integration, performance, and accessibility across the enterprise
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Partner with business stakeholders, digital teams, and technical leads to understand data requirements and translate them into future-proof architectural solutions
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Facilitate alignment between data architecture and strategic business priorities, ensuring a consistent, interoperable data layer across platforms
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Lead architecture reviews and design sessions to ensure scalable, secure, and cost-effective data solutions
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Implement strong data governance frameworks focusing on data quality, stewardship, classification, and retention
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Ensure alignment with data protection regulations and standards (e.g., GDPR, ISO 27001) including robust access controls, encryption, and auditability
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Maintain metadata repositories, data dictionaries, and lineage documentation to support transparency and compliance initiatives
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Design efficient data ingestion, transformation, and distribution processes using APIs, data streams, and modern pipeline frameworks
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Implement and tune ETL/ELT workflows to support both real-time and batch processing use cases, including predictive analytics and automation
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Promote reusable, modular data components and streaming capabilities for future scalability
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Evaluate emerging technologies and lead proofs of concept to assess their fit for financial data processing, AI enablement, and operational efficiency
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Drive continuous performance tuning of data platforms, including indexing strategies, workload optimization, and Storage management
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Make strategic recommendations on cloud data technologies (e.g., Databricks, Snowflake) and integration approaches based on business objectives
Profile
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Master's or bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
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8+ years of experience in data architecture or database design, preferably within the banking, wealth management, or insurance sectors
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Demonstrated ability to architect and scale complex data systems that support regulatory reporting, risk analysis, and AI/ML-driven insights
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Hands-on experience with modern data platforms such as Databricks, Snowflake, Apache Spark, Hadoop, or Elasticsearch
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In-depth understanding of cloud platforms (Azure, AWS, or GCP) and cloud-native data services
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Strong grasp of data integration frameworks, API-based data exchange, and event-driven architecture patterns
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Expertise in managing ETL/ELT pipelines, including real-time data processing for analytics and AI enablement
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Knowledge of data privacy and compliance standards, with the ability to translate them into secure architectural patterns
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Analytical mindset with a strong problem-solving orientation and ability to communicate technical concepts clearly to business stakeholders
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Comfortable working in cross-functional, fast-paced environments with evolving priorities
Our offer
- Working in a Great Place to Work based in Luxembourg
- Attractive salary and pretty cool benefits (meal vouchers, mobile subscription...)
- Develop your skills and ideas over a coffee, a beer or a pizza during our Neo'vations
- Evolve within a strong company culture, you'll join us for the opportunity and you'll stay because we're super cool (well according to 98% of our employees NEOFACTO Annual Survey 2024)
- Between afterworks, innovative workshops and ski weekends, there's never a dull moment when you're part of the Neo'Squad
