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Lead Databricks Platform Engineer / Solutions ArchitectNTT DATA • United States
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Lead Databricks Platform Engineer / Solutions Architect

NTT DATA
  • US
    United States
  • US
    United States
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Über

Databricks Platform & Data Engineer (CoE)
NTT DATA 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. Overview NTT DATA is seeking a senior Databricks Platform & Data Engineer to join our Databricks Center of Excellence (CoE). This role blends platform engineering, architecture, and hands-on data engineering, with a focus on building and scaling enterprise-grade Databricks environments for large, regulated clients. The ideal candidate will lead platform setup, governance, and adoption, while partnering directly with clients to design and deliver high-impact use cases leveraging the latest Databricks capabilities (e.g., Dataflow, Unity Catalog, AI/BI, Genie). This is a client-facing consulting role requiring strong technical depth, communication skills, and the ability to translate business requirements into scalable data platform solutions. Key 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 Data Engineering & Use Case Delivery Build and optimize batch and streaming data pipelines using Spark and Delta Lake Develop data products and domain-oriented pipelines aligned to enterprise data strategies Lead end-to-end use case delivery, from requirements 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 requirements 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 DATA accelerators, frameworks, and reusable assets Define best practices, reference architectures, and playbooks for enterprise Databricks adoption Mentor junior engineers and support capability building across the CoE Required Qualifications 12+ years of experience in data engineering, platform engineering, or data architecture 5+ years hands-on experience with Databricks in large enterprise environments Deep expertise in: Apache Spark (Scala/Python) Delta Lake and Lakehouse architectures Databricks workspace setup, cluster policies, and job orchestration Strong experience with cloud platforms (AWS, Azure, or GCP) Experience implementing data governance, security, and compliance controls Proven ability to design and deliver scalable, production-grade data platforms Strong client-facing and communication skills Preferred Qualifications Experience in financial services or other regulated industries Familiarity with data governance frameworks, regulatory reporting, and risk data environments Databricks certifications (e.g., Data Engineer, Solutions Architect) Experience with: Real-time streaming (Kafka, Structured Streaming) MLOps / Model Serving Data marketplace / data product architectures Exposure to AI-assisted development workflows and agent-based tooling Candidates must be within reasonable commuting distance of or able to relocate to Plano, TX; Minneapolis, MN; Chicago, IL; or Atlanta, GA. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and 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.
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