Our client is looking for an experienced Databricks Solution Architect to design and deliver enterprise data platforms for clients within Banking and Financial Services, with a strong focus on Financial Crime and Risk.
Responsibilities
- Design end-to-end Databricks Lakehouse solutions.
- Lead solution architecture and work with business and technical stakeholders.
- Build scalable cloud-based data platforms supporting AML, KYC, Fraud Detection, Transaction Monitoring, Customer Risk Assessment (CRA), Sanctions Screening and Regulatory Reporting.
- Define data architecture, governance, security and best practices.
- Provide technical leadership to engineering teams.
Required Experience
- 10+ years in Data & Analytics.
- Strong hands-on Databricks architecture experience.
- Experience delivering solutions within Banking or Financial Services.
- Background working on Financial Crime, AML, Fraud or Regulatory Reporting projects.
Tech Stack
- Databricks: Lakehouse, Delta Lake, Unity Catalog, Lakeflow/DLT, MLflow, Databricks SQL, Auto Loader, Photon Engine, Vector Search
- Data Engineering: PySpark, Spark, Python, Scala, CDC, Batch & Streaming Pipelines, Data Modelling
- Cloud: Azure (preferred), AWS or GCP
- DevOps: Azure DevOps, GitHub, CI/CD, Terraform, Infrastructure as Code (IaC)
Reach out to imran.jiwo@nicollcurtin.com for more information