Solution Architect-Databricks

Experis Ireland; Dublin; Hybrid; EUR 140,000 - 200,000; Part time

Job summary

Experis Ireland is seeking a seasoned Databricks Solution Architect to design and deliver large-scale Data, Analytics and Financial Crime solutions for Banking and Financial Services clients. You will define end-to-end Databricks Lakehouse architectures and lead initiatives covering AML, KYC, CRA, sanctions, monitoring, fraud and regulatory reporting.

The role requires strong architecture leadership, domain expertise, and the ability to translate business requirements into scalable cloud-native

Qualifications

• 12+ years in Data and Analytics.
• 5+ years Databricks architecture experience.
• 5+ years within Banking/Financial Services AML, Fraud, or Financial Crime programs.

Responsibilities

• Lead end-to-end architecture design for Databricks-based Financial Crime and Banking platforms.
• Define enterprise data architectures leveraging Lakehouse, Delta Lake and Unity Catalog.
• Conduct discovery workshops with business, compliance, and technology stakeholders.
• Translate regulatory and operational requirements into scalable technical solutions.
• Develop target-state architectures, migration roadmaps, and implementation strategies.

Skills

Databricks

Education

CS/Engineering/Data Analytics degree

Tools

Delta Lake

Unity Catalog

Lakeflow / DLT

MLflow

Auto Loader

Photon Engine

Vector Search

Job description

Job Title: Solution Architect-Databricks

Job type: 12 months Contract

Job Location: Dublin/Hybrid

Company Overview

A global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes, and unlock growth with speed. The company harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries such as insurance, healthcare, banking and financial services, media, and retail, among others. Founded in 1999, the company operates with the core values of innovation, collaboration, excellence, integrity, and respect.

The Role

Our client is seeking a highly experienced Databricks Solution Architect to lead the design and delivery of large-scale Data, Analytics and Financial Crime solutions for Banking and Financial Services clients.

The successful candidate will be responsible for defining end-to-end Databrics Lakehouse architectures and delivering Financial Crime platforms covering Anti-Money Laundering (AML), Know Your Customer (KYC), Customer Risk Assessment (CRA), Sanctions Screening, Transaction Monitoring, Fraud Detection, and Regulatory Reporting.

This is a client-facing consulting role requiring strong architecture leadership, domain expertise, solutioning capabilities, and the ability to translate business requirements into scalable cloud-native solutions.

Key Responsibilities

• Lead end-to-end architecture design for Databricks-based Financial Crime and Banking platforms.
• Define enterprise data architectures leveraging Lakehouse, Delta Lake and Unity Catalog.
• Conduct discovery workshops with business, compliance, and technology stakeholders.
• Translate regulatory and operational requirements into scalable technical solutions.
• Develop target-state architectures, migration roadmaps, and implementation strategies.

Financial Crime & Risk Management

• Architect solutions supporting:
  • AML Transaction Monitoring
  • Customer Risk Assessment (CRA)
  • KYC and Customer Due Diligence
  • Ongoing Due Diligence (ODD)
  • Sanctions and PEP Screening
  • Fraud Detection
  • Financial Crime Investigations
  • Regulatory Reporting

• Design Customer 360 and Financial Crime Lakehouse solutions.
• Enable real-time monitoring and risk analytics using streaming architectures.
• Design enterprise Databricks environments across Azure, AWS, or GCP.
• Architect:
  • Delta Lake
  • Unity Catalog
  • Lakehouse Architecture
  • Lakeflow / DLT
  • MLflow
  • Databricks SQL
  • Auto Loader
  • Vector Search and AI capabilities
• Define security, governance, lineage, and access-control frameworks.
• Ensure scalability, platform resilience, and cost optimization.

Data Engineering Leadership

• CDC
• Event Streaming
• Kafka
• Batch Processing
• Oversee development teams implementing Spark and PySpark pipelines.
• Establish reusable accelerators and architectural standards

Qualifications and experience we consider to be essential for the role:

• Bachelor's or master's degree in computer science, Engineering, Analytics, Mathematics, or related discipline.
• 12+ years of Data and Analytics experience.
• 5+ years of hands‑on Databricks architecture experience.
• 5+ years within Banking, Financial Services, AML, Fraud, or Financial Crime programs.

Skills we would like to have:

• Databricks

Platforms and Tools

Delta Lake, Databricks SQL, Unity Catalog, Lakeflow / DLT, MLflow, Auto Loader, Photon Engine, Vector Search

Data Engineering

PySpark, Python, Scala, Data Modeling, CDC Architecture, Batch and Streaming Pipelines

Cloud Platforms

Azure (preferred)

DevOps & Automation

Azure DevOps, GitHub, CI/CD, Terraform, Infrastructure as Code

Preferred Certifications

• Databricks Certified Data Engineer Professional
• Databricks Certified Solution Architect
• Databricks Certified Machine Learning Professional