Jobs / NTT***

Databricks Platform & Data Engineer

NTT*** · Plano, TX, United States
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Plano, TX, United States134,625-246,812 USD/yearlyHybrid
Remuneration
134,625-246,812 USD/yearly
Location
Plano, TX, United States
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Job summary

Req ID: 378574 NTT*** strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Databricks Platform Data Engineer to join our team on-site in either Plano, TX; Chicago, IL; Minneapolis, MN; or Atlanta, GA.

Benefits

About NTT DATANTT DATA is a $30 billion business and technology services leader, serving 75% oWe are committed to accelerating client success and positively impacting societyOur consulting and Industry solutions help organizations and society move confidAs 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 wellNTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.Whenever possible, we hire locally to NTT DATA offices or client sites.This ensures we can provide timely and effective support tailored to each clientWhile many positions offer remote or hybrid work options, these arrangements are

Qualifications

  • Experience: 12+ years overall; 5+ years with Databricks (enterprise-scale)
  • into scalable data platform solutions.
  • to production deployment
  • Drive data quality, observability, and pipeline reliability
  • Client Engagement Advisory
  • Act as a trusted advisor to client stakeholders (architecture, data, risk, and business teams)
  • Translate business
  • into technical architecture and delivery roadmaps
  • Lead workshops, solution design sessions, and platform adoption strategies
  • Support proposals, solutioning, and client innovations within regulated industries
  • CoE Contribution
  • Build and contribute to NTT*** accelerators, frameworks, and reusable assets

Responsibilities

  • Platform Engineering Architecture
  • Design and deploy enterprise-scale Databricks Lakehouse platforms across AWS/Azure
  • Establish secure, governed environments using Unity Catalog, role-based access controls, and data lineage
  • Define platform standards, reusable patterns, and guardrails for scalable adoption
  • Optimize platform performance, cost, and reliability for production workloads
  • Implement CI/CD, environment promotion, and DevOps automation for Databricks
  • Databricks Feature Enablement
  • Lead adoption of modern Databricks capabilities including:
  • Unity Catalog: centralized governance, access control, lineage
  • Dataflow / declarative pipelines: build scalable ingestion and transformation frameworks
  • Genie / AI-assisted development: accelerate developer productivity and data accessibility
  • Enable AI/BI dashboards, model serving, and advanced analytics use cases [Databricks...

Skills

CommunicationPowerPoint

Degrees

Associate

Industry

AutomotiveBankingEnergyInsuranceMedia

Company size

EnterpriseSmbStartup