Senior Big Data Architect

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Analytical skills","Communication","Teamwork"]

Design and deliver end-to-end big data platform architectures, including ingestion, storage, processing, and analytics/consumption layers. Own data warehouse, data lakehouse, and data lake solutions using Medallion best practices, and implement scalable, secure data pipelines. Enable data access via RBAC and data marketplace concepts, ensure governance, quality, and security, and optimize performance and cost. Lead client-facing technical solutioning and stay current on big data, cloud, and analytics trends.

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FursaFursa
NTT
NTT
2 days ago

Senior Big Data Architect

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Last checked: 59 minutes agoStatus: Live

Job Summary

Design and deliver end-to-end big data platform architectures, including ingestion, storage, processing, and analytics/consumption layers. Own data warehouse, data lakehouse, and data lake solutions using Medallion best practices, and implement scalable, secure data pipelines. Enable data access via RBAC and data marketplace concepts, ensure governance, quality, and security, and optimize performance and cost. Lead client-facing technical solutioning and stay current on big data, cloud, and analytics trends.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop large-scale, end-to-end data platform architectures across ingestion, storage, processing, and analytics/consumption layers.
  • •Architect and implement Data Warehouse, Data Lakehouse, and Data Lake solutions following Medallion architecture best practices.
  • •Collaborate with cross-functional teams to gather requirements and translate them into scalable, secure data solutions.
  • •Design and manage the consumption layer, including data access management, RBAC, and data marketplace enablement.
  • •Ensure data quality, integrity, governance, and security; optimize data architectures and workflows for performance and cost efficiency.

Key Requirements

  • •Strong architectural understanding of end-to-end data platform layers, including data warehouse, data lakehouse, and data lake using Medallion architecture.
  • •Extensive experience with big data technologies such as Spark and Kafka.
  • •Proficiency in Python and building scalable, secure data pipelines, warehouses, and lakes for large-scale (petabyte) processing.
  • •Hands-on experience with ETL/ELT, data modeling, and data warehousing concepts, including Medallion architecture.
  • •Mandatory hands-on cloud experience, with GCP strongly preferred (AWS or Azure acceptable), plus knowledge of consumption-layer access management and RBAC.
Skills:Problem-solvingAnalytical skillsCommunicationTeamwork
Tech Stack:Medallion architectureBigQueryTrinoRedshiftDatabricksSparkKafkaPythonGCPAWSAzureETL/ELTRBACSQLNoSQL

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