{"id":2282991,"url":"https://alion.io/job/ntt-databricks-lead-engineer","title":"Databricks Lead Engineer","company":{"id":121,"name":"NTT","domain":"global.ntt","url":"https://alion.io/company/ntt","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Birmingham, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":116000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Matillion","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Talend","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-12T13:56:38Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Make an impact with NTT DATA\nJoin a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it’s a place where you can grow, belong and thrive.\nYour day at NTT DATA\nPrimary Responsibilities\nClient Engagement & Delivery\nData Pipeline Development(Batch and Streaming)\nDatabricks&Lakehouse Architectures\nData Modelling& Optimisation (Delta Lake,Medallion architecture)\nCollaboration & Best Practices\nQuality, Governance & Security\nBusiness Relationships\nSolution Architects\nData Engineers, Developers, ML Engineers, and Analysts\nClient stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership\nTo thrive in this role, you need to have:\nKey Competencies\nProven experience in data engineering and pipeline development onDatabricksand cloud-native platforms.\nStrong consulting values with ability to collaborate effectively in client-facing environments.\nHands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.\nStrong problem-solving, analytical, and communication skills.\nExperience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.\nTechnical Expertise\nDeep expertise with theDatabricksplatform (Spark/PySpark/Scala,Delta Lake,Unity Catalog,MLflow).\nProficiency inETL/ELT toolssuch asDBT,Matillion,Talend, or equivalent.\nStrongSQLandPython(or equivalent language) skills for data manipulation and automation.\nHands-on experience with cloud platforms (AWS,Azure,GCP).\nFamiliarity withDatabricksWorkflows and other orchestration tools.\nKnowledge ofdata modelling methodologies(star schemas, Data Vault, Kimball, Inmon).\nFamiliarity with medallion architectures, data lakehouse principles anddistributed data processing.\nExperience withversion controltools (GitHub,Bitbucket) and CI/CD pipelines.\nUnderstanding ofdata governance, security, and compliance frameworks.\nExposure to AI/ML workloads desirable.\nExperience, Qualifications, and Education\nExperience: Minimum 5-8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working withDatabricks.\nEducation: University degree required.\nPreferred: BSc/MSc in Computer Science, Data Engineering, or related field\nDatabrickscertifications (Data Engineer Professional) highly desirable.\nMeasures of Success\nDelivery of high-performing, scalable, and secure data pipelines aligned to client requirements.\nHigh client satisfaction and successful adoption ofDatabricks-based solutions.\nDemonstrated ability to innovate and improve data engineering practices.\nContribution to the growth of the practice through reusable assets, accelerators, and technical leadership.\nWorkplace type:\nAbout NTT DATA\nNTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune\nGlobal 100. We are committed to accelerating client success and positively impacting society through\nresponsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with\nunmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and\napplication services. Our consulting and industry solutions help organizations and society move\nconfidently and sustainably into the digital future. As a Global Top Employer, we have experts in more\nthan 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as\nestablished and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each\nyear in R&D.\nEqual Opportunity Employer\nNTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. 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