Databricks Solution Architect

NTT
London
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 8-12 yearsEducation: bachelorsSkills: ["Consulting","Analytical","Problem-solving","Communication","Collaboration"]

Architect and deliver modern big data solutions for enterprise clients, enabling streaming data, data lakes, lakehouses, and advanced analytics. Serve as a trusted advisor to senior stakeholders, defining cloud-native data strategies and leading solution design and implementation. Drive data modernization and transformation initiatives, sharing thought leadership and best practices while collaborating with client partners and internal practice leaders to improve outcomes and repeat engagement.

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FursaFursa
NTT
NTT
2 days ago

Databricks Solution Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Architect and deliver modern big data solutions for enterprise clients, enabling streaming data, data lakes, lakehouses, and advanced analytics. Serve as a trusted advisor to senior stakeholders, defining cloud-native data strategies and leading solution design and implementation. Drive data modernization and transformation initiatives, sharing thought leadership and best practices while collaborating with client partners and internal practice leaders to improve outcomes and repeat engagement.
Location: London
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Engage with clients and support solution delivery from solution design through implementation.
  • •Design and implement cloud-native modern big data architectures for streaming, lake, and lakehouse use cases.
  • •Lead modernization and transformation initiatives aligned to client business objectives.
  • •Share thought leadership and knowledge through best practices and practice growth assets.
  • •Collaborate with executives, stakeholders, and technical teams across client organizations and NTT DATA practices.

Key Requirements

  • •Minimum 8–12 years in data architecture, engineering, or consulting, including at least 4+ years in modern big data solution architecture.
  • •Demonstrated expertise designing and implementing modern big data architectures for large enterprises.
  • •Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption.
  • •Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts.
  • •Proficiency with big data and streaming technologies (Apache Spark, Kafka, Confluent, Databricks, Unity Catalog) and relevant cloud/infrastructure knowledge.
Experience:8-12 yearsBig dataData architectureData engineeringStreaming dataData lakesLakehouseData modernizationData governance
Education:Bachelor's in Computer Science, Data Engineering, or related field
Skills:ConsultingAnalyticalProblem-solvingCommunicationCollaboration
Certifications:DatabricksKafkaCloud platforms
Tech Stack:Apache SparkKafkaConfluentDatabricksUnity CatalogAWSAzureGCPTerraformCloudFormationSQLNoSQLETLELTPythonRJavaBIData visualizationDevOps

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn