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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

GenAI Architect – Senior Manager

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least a Bachelor's degree.
  • At least 12 years of experience.
  • Oral and written proficiency in English is required.

Responsibilities

  • Lead GenAI architecture workstreams for data modernization programs and shape solution direction across client engagements.
  • Design scalable AI and data engineering patterns that integrate cloud services, data platforms, and orchestration tools.
  • Translate business needs into technical roadmaps for data pipelines, data products, and modern data platforms.
  • Advise stakeholders on GenAI use cases, platform choices, and integration approaches across enterprise environments.
  • Oversee solution design across Snowflake, Databricks, Azure Data Factory, AWS, Apache Airflow, and related data tools.
  • Guide teams through data architecture decisions, model design, performance tuning, and data quality planning.
  • Validate technical approaches for data security, anonymization, database management, and data warehouse optimization.
  • Coach delivery teams on agile ways of working, rapid experimentation, and practical AI-human collaboration.
  • Build trusted client relationships through clear technical storytelling, scenario analysis, and informed recommendation development.
  • Drive innovation in data engineering platforms and reusable patterns that support scalable GenAI adoption.
  • Define solution approaches, influence technical direction across multiple work streams, and translate business goals into scalable AI architectures.
  • Work across Data Modernisation initiatives within Cloud Engineering, Data & Analytics, and contribute to Product Innovation efforts that support evolving client needs.
  • Work directly with stakeholders, communicate clear options, and help shape delivery plans that balance quality, timeline, and business value.

Desired Qualifications

  • Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics.
  • Demonstrate GenAI architecture experience across data modernisation programs.
  • Apply AWS, Azure, or Databricks in cloud data platforms.
  • Design data pipelines, lakehouse models, and data warehouse solutions.
  • Translate business goals into scalable data architecture plans.
  • Lead client conversations through ambiguity and technical complexity.
  • Coach teams on AI fluency, data strategy, and innovation.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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