Lead Databricks Data Product Engineer (Lakehouse)

NTT DATA North America; Plano (TX); On-site; USD 90,000 - 96,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Flexible spending account

AD&D insurance

401(k) plan

Employee assistance program

Job summary

NTT DATA North America in Plano, TX seeks a Data Product Engineer (Databricks) to lead end-to-end MVP data products. You will architect data pipelines, implement governance, and drive adoption of Lakehouse architectures across teams.

You will partner with business stakeholders, risk and data owners to identify high-value data products and define reusable frameworks, security, metadata, and quality controls for scalable enterprise delivery.

Qualifications

• 10+ years in data engineering/architecture or related fields.
• 5+ years designing modern cloud-based data platforms and products.
• 4+ years hands-on Databricks with Delta Lake, Unity Catalog, Workflows, MLflow and Lakehouse patterns.
• 5+ years scalable data architectures and distributed processing.
• 4+ years building enterprise data pipelines with Spark, Python, SQL and cloud tech.
• 3+ years data product operating models, data mesh or product-oriented delivery.
• 3+ years cloud solutions on Azure, AWS or GCP.
• Experience in data governance, metadata, data quality, lineage and security.
• Ability to translate business requirements into scalable data product solutions.

Responsibilities

• Lead design and implementation of Data Product standards and patterns in Databricks.
• Partner with stakeholders to identify high-value data products and analytics outcomes.
• Define reusable data product frameworks, governance, metadata and quality requirements.
• Architect and build end-to-end MVP Data Products in Databricks (ingestion, transformation, quality, metadata, security, lineage, consumption).
• Develop scalable data pipelines and Lakehouse solutions using Databricks and cloud-native services.
• Collaborate with engineers, governance and platform teams to enable product-based data ownership.
• Design data product templates, CI/CD patterns, monitoring and automated testing.
• Evaluate assets and opportunities for modernization and adoption.
• Create proof-of-value demos and MVPs to validate architecture decisions and business value.
• Lead architecture workshops and stakeholder discussions on data contracts and interoperability.
• Mentor engineering teams and align delivery with business objectives.
• Support proposals, solution architecture and client discussions for Data Product and Databricks transformations.

Skills

Databricks

Delta Lake

Unity Catalog

Spark

Python

SQL

Cloud platforms

Data governance

Tools

Azure

AWS

Google Cloud Platform

Job description

NTT DATA North America in Plano, TX seeks a Data Product Engineer (Databricks) to lead end-to-end MVP data products. You will architect data pipelines, implement governance, and drive adoption of Lakehouse architectures across teams.

You will partner with business stakeholders, risk and data owners to identify high-value data products and define reusable frameworks, security, metadata, and quality controls for scalable enterprise delivery.