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
Design modern, cloud-native data architectures to support regulatory, operational, and analytics needs in banking and asset management.
Recommend and implement suitable data storage models (relational, NoSQL, data lakes) that support both structured and unstructured data at scale.
Develop robust data models and schemas that enhance integration, performance, and accessibility across the enterprise.
Partner with business stakeholders, digital teams, and technical leads to understand data requirements and translate them into future-proof architectural solutions.
Facilitate alignment between data architecture and strategic business priorities, ensuring a consistent, interoperable data layer across platforms.
Lead architecture reviews and design sessions to ensure scalable, secure, and cost-effective data solutions.
Implement strong data governance frameworks focusing on data quality, stewardship, classification, and retention.
Ensure alignment with data protection regulations and standards (e. g. , GDPR, ISO 27001), including robust access controls, encryption, and auditability.
Maintain metadata repositories, data dictionaries, and lineage documentation to support transparency and compliance initiatives.
Design efficient data ingestion, transformation, and distribution processes using APIs, data streams, and modern pipeline frameworks.
Implement and tune ETL/ELT workflows to support both real-time and batch processing use cases, including predictive analytics and automation.
Promote reusable, modular data components and streaming capabilities for future scalability.
Evaluate emerging technologies and lead proofs of concept to assess their fit for financial data processing, AI enablement, and operational efficiency.
Drive continuous performance tuning of data platforms, including indexing strategies, workload optimization, and storage management.
Make strategic recommendations on cloud data technologies (e. g. , Databricks, Snowflake) and integration approaches based on business objectives.
Profile
Master's or bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
8+ years of experience in data architecture or database design, preferably within the banking, wealth management, or insurance sectors.
Demonstrated ability to architect and scale complex data systems that support regulatory reporting, risk analysis, and AI/ML-driven insights.
Hands-on experience with modern data platforms such as Databricks, Snowflake, Apache Spark, Hadoop, or Elasticsearch.
In-depth understanding of cloud platforms (Azure, AWS, or GCP) and cloud-native data services.
Strong grasp of data integration frameworks, API-based data exchange, and event-driven architecture patterns.
Expertise in managing ETL/ELT pipelines, including real-time data processing for analytics and AI enablement.
Knowledge of data privacy and compliance standards, with the ability to translate them into secure architectural patterns.
Analytical mindset with a strong problem-solving orientation and ability to communicate technical concepts clearly to business stakeholders.
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.
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