Related skills
azure aws gcp databricks bloomberg๐ Description
- Lead agile engagements delivering modern data architecture and cloud transformation.
- Define scalable enterprise data strategies across programmes and business units.
- Design WAM data domains and models: client, portfolio, holdings, pricing, performance, fees.
- Architect cloud-native data platforms (AWS/Azure/GCP) for advisor and client journeys.
- Define integration patterns across CRM, OMS/PMS, wealth back office, custody, reporting.
- Establish robust data quality, reconciliation, and control frameworks.
๐ฏ Requirements
- Proven experience delivering enterprise data architecture and cloud data engineering in WAM.
- Deep knowledge of data modelling (contextual, logical, physical) in WAM domains.
- Strong understanding of WAM data concepts: client/household, holdings, pricing, risk.
- Hands-on with cloud data ecosystems (AWS, Azure, GCP) and modern data stacks.
- Experience integrating CRM, OMS/PMS, wealth back office, custody, market data, and reporting.
- Understanding data management tooling, security frameworks, and controls in regulated FS.
๐ Benefits
- Core Benefits: Discretionary bonus, pension, health, life, and critical illness cover.
- Mental Health: CareFirst, Unmind, Aviva consultations, and in-house first aiders.
- Family-Friendly: Maternity, shared parental leave, paid sick leave, fertility support.
- Family Care: 8 backup care sessions for emergency childcare or elder care.
- Holiday Flexibility: 5 weeks annual leave with buy/sell option.
- Continuous Learning: 40+ hours training annually plus a day-one coach.
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