Lead Data Architect (NAM Portugal)
Teknik, data och digitalt · Data, AI och analys · Data engineering · Mjukvaruutveckling · Datavetenskap
I korthet
Nordea Asset Management is looking for a hands-on Lead Data Architect to design and build their enterprise data foundation using Snowflake and Data Mesh principles. This role involves defining architectural direction, working with engineers and business domains, and shaping data modeling, governance, and consumption across the organization. The position is based in Oeiras, Portugal, with a hybrid working model.
Ansvarsområden
- Own the target data architecture for NAM, including domain boundaries, canonical models, data product interfaces, and integration patterns.
- Design and hands-on build core data models and data products in Snowflake and dbt, setting the standards that domain teams follow.
- Drive architectural decisions to a conclusion, bringing clear alternatives and recommendations where choices cut across domains.
- Define and maintain reference architectures, design principles, and architecture decision records, ensuring they are consistently adopted.
- Work directly with business domains including Investments, Distribution, Risk, Operations and Finance to translate business processes into scalable and reusable data products.
- Design the ingestion and integration landscape, covering internal source systems, vendor feeds, batch and streaming integrations, and data contracts between producers and consumers.
- Embed governance into the platform through metadata standards, lineage, tagging, access models, and policy enforcement mechanisms.
- Ensure architectural decisions meet regulatory, security and non-functional requirements, including DORA, GDPR, resilience, traceability and auditability.
- Partner with Group Technology on cloud, security, and infrastructure standards, and represent NAM in relevant architecture and technology forums.
- Support the design of analytics, AI and agentic solutions built on top of the data foundation.
- Coach and mentor engineers, analysts, and data practitioners across the organisation, helping raise the overall level of data architecture maturity.
Krav
- Genuinely hands-on and enjoy solving technical challenges directly.
- Highly proficient in SQL, data modelling, and modern data engineering practices.
- Strong experience with Snowflake, dbt, or similar cloud-native data platforms.
- Deep expertise across conceptual, logical and physical data modelling.
- Understand when to apply dimensional modelling, Data Vault, and other modelling approaches based on business requirements.
- Strong understanding of Data Mesh principles, domain-driven design, and federated governance models.
- Can move comfortably between executive discussions and technical implementation details.
- Build credibility through expertise, collaboration and delivery rather than formal authority.
- Pragmatic and outcome-focused, balancing architectural quality with delivery speed.
- Strong interest in financial services, investment management, and data-driven transformation.
- Master's degree in Computer Science, Mathematics, Engineering, or another quantitative discipline.
- 8+ years of experience in data architecture, data engineering, or data modelling roles.
- Proven experience designing and implementing modern cloud-based data platforms.
- Demonstrated success in defining architectural standards across multiple teams and getting them adopted without relying on formal authority.
- Fluent English communication skills.
Önskade kvalifikationer
- Experience from asset management, banking, or financial services is a strong advantage.
- Snowflake, including governance capabilities, Snowpark, data sharing, and marketplace functionality.
- dbt, Airflow, Airbyte, Kafka, GoldenGate, or similar modern data tooling.
- Asset management data domains, including holdings, transactions, performance, attribution, reference data, ESG, and client data.
- Market data providers such as Bloomberg, FactSet, MSCI, Morningstar, or LSEG.
- Data governance, metadata management, data contracts, and policy-as-code approaches.
- Cloud platforms such as Azure, AWS, or GCP.
- Infrastructure as Code, containerisation, and orchestration technologies.
- Building data platforms that support advanced analytics, machine learning and LLM-based applications.
- Delivering solutions in regulated financial environments.
Förmåner
- You'll play a central role in one of NAM's most strategic transformation initiatives.
- The architecture decisions you make will shape how data, analytics, and AI capabilities evolve across the organization for years to come.
#Data Architecture#Data Engineering#Snowflake#Data Mesh#AI#Asset Management