Role & responsibilities

Leading data engineering workstreams for client delivery, guiding teams through planning, design, build, and deployment activities

- Directing the development of data pipelines, integration patterns, and transformation logic across cloud and hybrid environments
- Managing project scope, timelines, budgets, and deliverables while balancing multiple client priorities
- Reviewing data architecture approaches, modeling decisions, and technical designs to support scalable data platforms
- Applying tools and platforms such as Apache Airflow, Azure Data Factory, Databricks, Snowflake, AWS, and Azure Databricks to build and refine solutions
- Translating business needs into data architecture strategies that support analytics, reporting, and operational use cases
- Coaching team members on data engineering methods, problem solving, and delivery practices
- Validating data quality, performance tuning, query optimization, and database administration activities across delivery work
- Identifying risks,



dependencies, and implementation issues early in the delivery cycle and escalating when needed
- Supporting client discussions on data strategy, platform modernization, and data governance topics

What Sets You Apart
- 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, Mathematical Statistics
- Leading data delivery workstreams across client-facing engagements
- Architecting data solutions spanning pipelines, modeling, and integration
- Managing project planning, budgeting, timelines, and deliverables
- Mentoring teams while reviewing work to deepen skills
- Applying cloud platforms, Databricks, Snowflake, or Azure Data Factory

📌 Data Delivery Leads / Data Architects - Manager Healthcare/Pharma/Life (Bengaluru)
🏢 PwC
📍 Bengaluru