Databricks Lead Engineer
NTT
Overview
As a Data Engineer/Architect at NTT DATA, you will design and deliver scalable data pipelines on Databricks and cloud platforms, shaping data lakehouse architectures. You will collaborate with solution architects and analytics leadership to meet client needs while upholding governance and security. You’ll tackle data ingestion, transformation, modelling, and optimization to drive impactful data solutions. This role offers the chance to influence practice growth through reusable assets and technical leadership.
Responsibilities- Client engagement & delivery
- Data pipeline development (batch and streaming)
- Databricks & lakehouse architectures
- Data modelling & optimisation (Delta Lake, Medallion)
- Collaboration & best practices
- Quality, governance & security
- Engagement with solution architects and data teams
- Proven data engineering experience on Databricks and cloud-native platforms
- Hands-on data lifecycle expertise (ingestion, transformation, modelling, governance, consumption)
- Strong problem-solving, analytical, and communication skills
- Experience leading or mentoring engineers to deliver scalable data solutions
- Experience with cloud platforms (AWS, Azure, GCP)
- Familiarity with Databricks Workflows and orchestration tools
- Understanding of data governance, security, and compliance
- Collaborative
- Client-facing communication
- Mentoring/leadership
- Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow)
- ETL/ELT tools (DBT, Matillion, Talend)
- SQL
Reference: WJ-747_30143457