Lead Databricks Platform Engineer / Solutions Architect

Req ID: 378574 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 Lead Databricks Platform Engineer / Solutions Architect to join our team on‑site in either Plano, TX; Chicago, IL; Minneapolis, MN; or Atlanta, GA. Job Description Databricks Platform & Data Engineer (CoE) Locations: Plano, TX | Minneapolis, MN | Chicago, IL | Atlanta, GA Organization: NTT DATA – Databricks Center of Excellence (CoE) Experience: 12+ years overall; 5+ years with Databricks (enterprise‑scale) 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, Dataflow / declarative pipelines, Genie / AI‑assisted development, and AI/BI dashboards, model serving, 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. For candidates in Plano, TX and Atlanta, GA the starting pay range is $134,625-$224,375. For candidates in Chicago, IL or Minneapolis, MN the starting pay range is $148,088-$246,812. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. 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. Equal Opportunity and EEO Policy NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( If you'd like more information on your EEO rights under the law, please click here ( For Pay Transparency information, please click here ( #J-18808-Ljbffr NTT America