Data Product Engineer: Databricks & Lakehouse Architect

NTT America, Inc.; Plano (TX); Hybrid; USD 116,000 - 155,000; Full time

Benefits offered by this job

Incentive compensation

Medical, dental and vision insurance

401k with company match

Job summary

NTT DATA seeks a Data Product Engineer (Databricks) in Plano, Texas to lead the design and implementation of enterprise data product standards within the Databricks ecosystem. You will partner with stakeholders to identify high-value products and define reusable frameworks, governance, and metadata standards across cloud platforms.

You will architect end-to-end MVP data products, build scalable pipelines using Databricks, Delta Lake, Unity Catalog, and Spark, and mentor engineering teams while

Qualifications

• 10+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, or Enterprise Data Management.
• 5+ years designing and implementing modern cloud-based data platforms and data products.
• 4+ years hands-on Databricks experience including Delta Lake, Unity Catalog, Workflows, MLflow, and Lakehouse patterns.
• 3+ years experience delivering cloud-based solutions on Azure, AWS, or Google Cloud Platform.

Responsibilities

• Lead design and implementation of enterprise Data Product standards, architecture patterns, and engineering practices within the Databricks ecosystem.
• Partner with stakeholders to identify high-value data products for critical business use cases.
• Define reusable data product frameworks, reference architectures, governance controls, and metadata standards.

Skills

Data Engineering

Data Architecture

Analytics Engineering

Enterprise Data Management

Tools

Delta Lake

Unity Catalog

Spark

Databricks

MLflow

Job description

NTT DATA seeks a Data Product Engineer (Databricks) in Plano, Texas to lead the design and implementation of enterprise data product standards within the Databricks ecosystem. You will partner with stakeholders to identify high-value products and define reusable frameworks, governance, and metadata standards across cloud platforms.

You will architect end-to-end MVP data products, build scalable pipelines using Databricks, Delta Lake, Unity Catalog, and Spark, and mentor engineering teams while