2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead GenAI architecture workstreams for data modernization programs and shape solution direction across client engagements.
- Design scalable AI and data engineering patterns integrating 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 enterprise integration approaches.
- Oversee solution design across Snowflake, Databricks, Azure Data Factory, AWS, Apache Airflow, and related data tools.
- Guide teams on data architecture, model design, performance tuning, data quality, security, anonymization, database management, and data warehouse optimization.
- Coach delivery teams on agile working, experimentation, and AI-human collaboration.
- Build client relationships through technical storytelling, scenario analysis, and recommendations.
- Drive innovation in data engineering platforms and reusable patterns supporting GenAI adoption.
Requirements
- At least a bachelor's degree is required.
- At least 12+ years of experience is required.
- Oral and written proficiency in English is required.
- Preferred fields of study include Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, and Mathematical Statistics.
- Experience with GenAI architecture across data modernization programs is preferred.
- Experience applying AWS, Azure, or Databricks in cloud data platforms is preferred.
- Experience designing data pipelines, lakehouse models, and data warehouse solutions is preferred.
- Ability to translate business goals into scalable data architecture plans and lead client conversations through ambiguity is preferred.
- Experience coaching teams on AI fluency, data strategy, and innovation is preferred.
Tech Stack
Categories
Data Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.