Data Delivery Leads / Data Architects - Manager Healthcare/Pharma/Life

PwC; Hyderabad, Chennai District, Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

PwC in Hyderabad is seeking an experienced Data Engineer lead to drive client delivery through planning, design, build, and deployment of data pipelines. You will guide teams, review architectures, and apply platforms like Airflow, Azure Data Factory, Snowflake, Databricks, and AWS to deliver scalable data platforms and governance.

Working across cloud and hybrid environments, you will mentor colleagues, manage delivery risks, and align data strategies with business goals to enable analytics and

Qualifications

• Preference for at least one of the listed fields of study.

Responsibilities

• Leading data delivery workstreams for client engagements.
• Guiding planning, design, build and deployment activities.
• Directing development of data pipelines and transformation logic.
• Reviewing data architecture approaches and modeling decisions.
• Coaching team members on data engineering methods and delivery practices.

Skills

Leading data delivery workstreams

Architecting data solutions

Mentoring teams

Cloud platforms familiarity

Education

Management Information Systems

Computer and Information Science

Systems Engineering

Electrical Engineering

Industrial Engineering

Tools

Databricks

Snowflake

Azure Data Factory

Apache Airflow

Job description

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