Databricks Lead Engineer — Data Platform Architect

NTT Ltd.; Birmingham; On-site; GBP 70,000 - 100,000; Full time

Job summary

NTT DATA is hiring a senior data engineer/architect to lead end-to-end data solutions in a client-facing role. You will design and implement Databricks-based pipelines, lakehouse architectures, and data modelling strategies, while ensuring governance, security, and best practices across engagements.

The role requires strong SQL/Python skills, extensive experience with Databricks, and a track record of delivering scalable data solutions on cloud platforms.

Qualifications

• Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks.
• University degree required.
• Databricks certifications (Data Engineer Professional) highly desirable.
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong consulting values and client-facing collaboration.
• Hands-on data lifecycle expertise: ingestion, transformation, modelling, governance, and consumption.

Responsibilities

• Client Engagement & Delivery.
• Data Pipeline Development (Batch and Streaming).
• Databricks & Lakehouse Architectures.
• Data Modelling & Optimisation (Delta Lake, Medallion architecture).
• Collaboration & Best Practices.
• Quality, Governance & Security.

Skills

Databricks

SQL

Python

Data engineering

Cloud platforms

ETL/ELT tools

Data modelling

CI/CD

Governance & security

AI/ML workloads

Education

University degree

Databricks certifications

Tools

Databricks

DBT

Matillion

Talend

Spark/PySpark/Scala

Delta Lake

Unity Catalog

MLflow

GitHub

Bitbucket

Job description

NTT DATA is hiring a senior data engineer/architect to lead end-to-end data solutions in a client-facing role. You will design and implement Databricks-based pipelines, lakehouse architectures, and data modelling strategies, while ensuring governance, security, and best practices across engagements.

The role requires strong SQL/Python skills, extensive experience with Databricks, and a track record of delivering scalable data solutions on cloud platforms.