Senior Databricks Data Product Engineer

JobDiva, Inc.; Plano (TX); Presencial; USD 90.000 - 96.000; Jornada completa

Descripción de la vacante

NTT DATA is seeking a Data Product Engineer (Databricks) in Plano, TX to lead design and implementation of data product standards within the Databricks ecosystem. The role collaborates with Risk, business stakeholders and platform teams to accelerate adoption of lakehouse architectures.

Responsibilities include architecting data products, implementing governance, and delivering end-to-end MVP data solutions using Delta Lake, Unity Catalog, Spark, and cloud-native services.

Formación

• Minimum 10+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, or Enterprise Data Management.
• Minimum 5+ years of experience designing and implementing modern cloud-based data platforms and data products.
• Minimum 4+ years of hands-on Databricks experience, including Delta Lake, Unity Catalog, Workflows, MLflow, and lakehouse patterns.
• Minimum 4+ years of experience building enterprise data pipelines using Spark, Python, SQL and cloud-native technologies.

Responsabilidades

• Lead design and implementation of enterprise Data Product standards and architecture patterns within Databricks.
• Partner with stakeholders to identify high-value data products supporting critical analytics outcomes.
• Architect and build end-to-end MVP Data Products in Databricks with ingestion, transformation, quality controls, and security.

Conocimientos

Data Engineering

Databricks

Data Architecture

Cloud Platforms

Python

SQL

Stakeholder Engagement

Herramientas

Delta Lake

Unity Catalog

Spark

MLflow

Workflows

Descripción del empleo

NTT DATA is seeking a Data Product Engineer (Databricks) in Plano, TX to lead design and implementation of data product standards within the Databricks ecosystem. The role collaborates with Risk, business stakeholders and platform teams to accelerate adoption of lakehouse architectures.

Responsibilities include architecting data products, implementing governance, and delivering end-to-end MVP data solutions using Delta Lake, Unity Catalog, Spark, and cloud-native services.