Data Product Engineer (Databricks)

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Life and AD&D insurance

Short and long-term disability

Employee assistance program

Job summary

NTT DATA, Inc. in Plano, TX seeks a senior Data Product Engineer (Databricks) to lead enterprise data product standards and architecture within the Databricks ecosystem. You will partner with risk domains, data product owners, and tech leadership to define reusable frameworks and governance across data products.

You will architect end-to-end MVP data products, develop scalable pipelines on Lakehouse architectures, and mentor engineers while aligning business objectives with delivery execution.

Qualifications

• 10+ years in Data Engineering or related fields.
• 5+ years designing modern cloud-based data platforms and data products.
• 4+ years hands-on Databricks experience including Delta Lake, Unity Catalog, Workflows, MLflow.
• 5+ years designing scalable data architectures and distributed data processing solutions.
• 4+ years building enterprise data pipelines using Spark, Python, SQL, cloud-native tech.
• 3+ years implementing Data Product operating models, Data Mesh concepts, domain-owned delivery.
• 3+ years delivering cloud-based solutions on Azure, AWS, or GCP.
• Experience in data governance, metadata management, data quality, lineage, security controls.
• Experience designing reusable engineering standards and platform accelerators.
• Experience engaging with business stakeholders for scalable data products.

Responsibilities

• Lead design and implementation of enterprise Data Product standards and architecture in the Databricks ecosystem.
• Partner with stakeholders to identify high-value data products supporting essential business use cases.
• Define reusable data product frameworks, governance controls, metadata standards, and quality requirements.
• Architect and build MVP data products in Databricks including ingestion, transformation, and consumption layers.
• Develop scalable data pipelines and Lakehouse solutions using Databricks, Delta Lake, Unity Catalog, Spark, and cloud services.
• Collaborate with Data Engineers, Data Architects, Governance, and platform teams to set delivery standards.
• Design data product templates, CI/CD patterns, monitoring, observability, and automated testing frameworks.
• Evaluate existing data assets and processes to identify modernization opportunities and improved adoption.
• Create proof-of-value demos and working MVPs to validate architecture and business value.
• Lead architecture reviews and stakeholder discussions on data contracts, interoperability, and consumption patterns.
• Provide technical leadership and mentorship to engineering teams.

Skills

Data engineering

Data architecture

Analytics engineering

Enterprise data management

Databricks

Delta Lake

Unity Catalog

Data mesh

Data governance

Data pipelines

Spark

Python

SQL

Cloud platforms

Tools

Spark

Unity Catalog

MLflow

Delta Lake

Job description

We are currently seeking a Data Product Engineer (Databricks) to join our team in Plano, Texas (US-TX), United States (US).

Day to Day Job Duties:

Lead the design and implementation of enterprise Data Product standards, architecture patterns, and engineering practices within the Databricks ecosystem.

Partner with business stakeholders, Risk domain teams, Data Product Owners, and technology leadership to identify high-value data products that support critical business use cases and analytics outcomes.

Define and implement reusable data product frameworks, reference architectures, governance controls, metadata standards, and quality requirements to accelerate enterprise adoption.

Architect and build multiple end-to-end MVP Data Products in Databricks, including data ingestion, transformation, quality controls, metadata management, security, lineage, and consumption layers.

Develop scalable data pipelines and Lakehouse solutions utilizing Databricks, Delta Lake, Unity Catalog, Spark, and cloud-native services.

Collaborate with Data Engineers, Data Architects, Governance teams, and platform teams to establish delivery standards that support product-based data management and domain-oriented ownership.

Design and implement data product templates, CI/CD patterns, operational monitoring, observability controls, and automated testing frameworks to support repeatable delivery.

Evaluate existing data assets, business processes, and technology capabilities to identify opportunities for modernization and improved data product adoption.

Create proof-of-value demonstrations and working MVP solutions that validate architecture decisions, demonstrate business value, and establish implementation patterns for future teams.

Lead technical workshops, architecture reviews, and stakeholder discussions focused on data product design, data contracts, interoperability, discoverability, and consumption patterns.

Provide technical leadership and mentorship to engineering teams while driving alignment between strategic business objectives and practical delivery execution.

Support proposal development, solution architecture discussions, effort estimation, and client presentations related to enterprise Data Product and Databricks transformation initiatives.

Basic Qualifications:

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 architecture patterns.

Minimum 5+ years of experience designing scalable data architectures and distributed data processing solutions.

Minimum 4+ years of experience building enterprise data pipelines using Spark, Python, SQL, and cloud-native technologies.

Minimum 3+ years of experience implementing Data Product operating models, Data Mesh concepts, domain-driven data ownership, or product-oriented data delivery approaches.

Minimum 3+ years of experience delivering cloud-based solutions on Azure, AWS, or Google Cloud Platform.

Experience implementing data governance, metadata management, data quality frameworks, lineage, and security controls within modern data platforms.

Experience designing reusable engineering standards, architecture patterns, and platform accelerators that support large-scale enterprise adoption.

Experience engaging directly with business stakeholders to translate business requirements into scalable data product solutions.

Strong communication and consulting skills with the ability to lead architecture workshops, executive discussions, and technical solution reviews.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $116,000-$155,000. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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