Data Architect Lead Consultant

NTT DATA, Inc.

Athens (GA)

Remote

USD 130,000 - 170,000

Full time

7 days ago
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Job summary

NTT DATA, Inc. is seeking an experienced Data Solution Architect to design and modernize scalable data platforms using Microsoft Fabric and Azure.

This remote role defines end-to-end architecture, patterns, standards and roadmaps while providing technical leadership to engineering teams. You will collaborate with Data Engineers to guide Pipelines, Fabric Notebooks, PySpark transformations and Delta Tables, while evaluating scalability, performance, security and cost; ideal for a senior

Qualifications

  • 7+ years in data engineering or data architecture with leadership.
  • Hands-on in SparkSQL, PySpark, Delta Tables, Pipelines and Fabric notebooks.
  • Experience with Fabric and Azure data platforms and enterprise data integration.

Responsibilities

  • Define end-to-end data solution architecture across ingestion, storage, analytics and governance.
  • Lead architecture reviews and translate requirements into detailed designs.
  • Mentor data engineers and guide development of pipelines and data models.
  • Evaluate technology choices for scalability, security and cost.

Skills

Data architecture
Data governance
Security

Education

Bachelor's degree in CS/IT/Engineering

Tools

Microsoft Fabric
Azure
OneLake
Fabric Lakehouse
Fabric Data Warehouse
Azure Data Factory
Power BI
Azure DevOps

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Data Architect Lead Consultant to join our team in Remote, Georgia (US-GA), United States (US).

Data Solution Architect – Remote

NTT DATA, Inc. currently seeks an experienced Data Solution Architect to join our team in a Remote capacity. Our client is looking to design and modernize scalable enterprise data platforms using Microsoft Fabric and Azure technologies. This role will define end-to-end data architecture while providing technical leadership to engineering teams implementing the solution.

  • Define end-to-end data solution architecture, patterns, standards, and technical roadmaps across ingestion, transformation, storage, analytics, security, and integration.
  • Architect solutions using Microsoft Fabric and Azure, including SparkSQL, PySpark, Delta Tables, Pipelines, Fabric Notebooks, Lakehouse, and data warehouse technologies .
  • Design scalable data models, Medallion/Lakehouse patterns, integration approaches, security controls, governance, and performance strategies.
  • Lead architecture reviews and translate business and non-functional requirements into detailed technical designs and implementation guidance.
  • Partner with Data Engineers to guide development of Pipelines, Fabric Notebooks, PySpark/SparkSQL transformations, and Delta Tables .
  • Evaluate technology choices for scalability, reliability, performance, security, maintainability, and cost while mentoring engineering teams and ensuring architectural standards are followed.
  • 7+ years of Data Engineering, Data Architecture, cloud data, or related experience , including solution architecture responsibilities.
  • ~7+ years of Strong hands-on experience with SparkSQL, PySpark, Delta Tables, Pipelines, Fabric Notebooks, SQL, and modern Lakehouse/data warehouse architectures .
  • ~7+ years of Strong experience with Microsoft Fabric and/or Microsoft Azure data platforms and enterprise data integration.
  • ~7+ years of Experience defining architecture standards, data models, security, governance, performance, and deployment patterns .
  • ~ Bachelor's degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field , or equivalent professional experience.
  • Experience with OneLake, Fabric Lakehouse, Fabric Data Warehouse, Azure Data Factory, Power BI, and Azure DevOps .
  • Experience with enterprise data governance, CI/CD, cloud cost optimization, and large-scale data platforms .
  • Microsoft Azure or Fabric architecture/data certifications.

This is a fully remote position . Candidates must be comfortable collaborating with business, product, data, engineering, QA, and other stakeholders in a distributed environment.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. 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. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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.

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