Lead Databricks Architect — Data Platform Visionary

NTT DATA; Dublin; On-site; EUR 130,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Databricks leadership role

Job summary

NTT DATA in Dublin, Ireland, is seeking a Lead Databricks Architect to lead our Databricks-focused architecture capabilities within the Data Practice. You will guide data platforms, architectures and AI-enabled solutions, working with data architects, engineers and consultants to deliver production-ready results that drive business outcomes.

The role emphasizes leadership, client engagement and market-facing stewardship, with strong emphasis on Knowledge Graphs, Data Ontologies and Generative AI

Qualifications

• Lead Databricks architecture teams and client architecture work.
• Architect data platforms, pipelines and ML models for forecasting and analytics.
• Collaborate with clients and internal teams to plan and deliver on time and budget.

Responsibilities

• Lead architecture teams on Databricks data architectures.
• Architect data platforms, data pipelines and ML models for forecasting, classification, recommendation, optimisation, clustering and anomaly detection.
• Guide teams on Databricks services, data architecture and model approaches.
• Manage the relationship with Databricks and drive partnership depth.
• Develop reusable notebooks, scripts and pipelines for repeatable ML delivery.
• Support monitoring and continuous improvement of architectures in client environments.

Skills

Databricks architecture leadership

Team leadership

Client engagement

Strategic data architecture

Communication skills

Tools

Databricks

Knowledge Graphs

LLMs

Job description

NTT DATA in Dublin, Ireland, is seeking a Lead Databricks Architect to lead our Databricks-focused architecture capabilities within the Data Practice. You will guide data platforms, architectures and AI-enabled solutions, working with data architects, engineers and consultants to deliver production-ready results that drive business outcomes.

The role emphasizes leadership, client engagement and market-facing stewardship, with strong emphasis on Knowledge Graphs, Data Ontologies and Generative AI