PwC Acceleration Center India
Website:
pwc.com
Company:
https://www.linkedin.com/company/pwc-ac-india
Seniority: Not Applicable
Industries: Professional Services
Job details:
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Data Engineer - Senior Manager, you will lead the development of innovative software solutions within our Advisory practice, focusing on driving digital transformation and enhancing business performance. You will use your technical skills and creative thinking to design, code, and test applications that transform industries and deliver exceptional user experiences. As a Senior Manager, you will leverage your influence, skills, and network to deliver quality results. You will motivate and coach teams to solve complex problems, applying sound judgment to recognize when to take action and when to escalate. Your ability to develop and sustain high-performing, diverse, and inclusive teams, along with your commitment to excellence, contributes to the success of our firm.
In this role at PwC Acceleration Center India, you will focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. You will craft and convey clear, impactful messages that tell a holistic story, apply systems thinking to identify underlying problems, and validate outcomes with clients. Your role will involve directing teams through complexity, demonstrating composure in challenging situations, and initiating open and honest coaching conversations at all levels.
Responsibilities
- Lead the design, development, and implementation of innovative data and software solutions that drive digital transformation and business value.
- Serve as the technical owner and solution lead for complex engineering initiatives, providing direction across archi
- tecture, design, development, testing, and deployment.
- Design scalable, resilient, and maintainable application, data, and integration architectures that align with business requirements and technology standards.
- Lead enterprise-scale data engineering solutions on modern cloud data platforms and lakehouse architectures, such as Databricks, Microsoft Fabric, Snowflake, Sigma, or similar enterprise data platforms.
- Design and implement scalable data pipelines, data products, APIs, integrations, and distributed data processing solutions using Python, SQL, Spark, and modern cloud technologies.
- Apply data modeling techniques and architectural patterns including data lake, lakehouse, Delta Lake, and data warehouse solutions to support analytics and AI-driven platforms.
- Collaborate with stakeholders to translate business and functional requirements into technical specifications, solution designs, and implementation roadmaps.
- Drive technical decision-making across architecture, engineering, integration, performance optimization, and operational readiness.
- Conduct architecture reviews, solution reviews, and code reviews to ensure adherence to engineering standards, security requirements, and software quality best practices.
- Champion modern engineering practices including CI/CD, DevOps, Infrastructure as Code (IaC), automated testing, observability, and deployment automation.
- Design and implement AI-enabled solutions using Generative AI, Retrieval-Augmented Generation (RAG), semantic search, vector databases, and agentic AI frameworks.
- Apply analytical thinking and systems thinking to troubleshoot complex technical challenges, identify dependencies, and drive root-cause resolution.
- Build and maintain strong client and stakeholder relationships, validate delivery outcomes, and incorporate feedback to continuously improve solutions.
- Promote innovation through rapid experimentation, proof of concepts, reusable accelerators, and adoption of emerging technologies.
- Coach and mentor engineers and technical leads through architecture guidance, design reviews, engineering practices, and technical problem solving.
- Own end-to-end technical delivery and solution outcomes, ensuring alignment with business objectives, quality standards, scalability requirements, and client expectations.
What You Must Have
- Bachelor’s degree or equivalent experience.
- 13 to 18 years of relevant experience in data engineering or related technology roles.
What Sets You Apart
- Deep expertise in Application Architecture, Data Engineering, Solution Design, and Technical Leadership.
- Proven experience architecting and delivering enterprise-grade applications, data platforms, integrations, and analytics solutions.
- Strong hands-on experience with modern cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, Sigma, or similar enterprise data platforms.
- Expertise in Data Lakes, Lakehouse Architecture, Data Warehousing, Data Modeling, and Distributed Data Processing Frameworks.
- Advanced proficiency in Python, SQL, Spark, API Management, Enterprise Application Integration, and Modern Software Engineering Practices.
- Demonstrated expertise in CI/CD, DevOps, automated testing, deployment automation, and engineering governance.
- Experience designing and implementing Generative AI, Retrieval-Augmented Generation (RAG), semantic search, vector database architectures, and AI-powered enterprise solutions.
- Hands-on experience with modern AI orchestration and agentic frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar technologies.
- Exceptional analytical thinking, systems thinking, and problem-solving capabilities with the ability to navigate highly complex and ambiguous technical challenges.
- Demonstrated ability to lead technical discussions, influence architecture and design decisions, and drive technical excellence across multiple initiatives.
- Strong client engagement and relationship management skills with the ability to translate complex technical concepts into business outcomes.
- Proven ability to innovate through rapid experimentation, creativity, and adoption of emerging technologies.
- Demonstrated ownership mindset with accountability for architecture quality, solution design, technical delivery, and business outcomes.
- Strong communication skills with the ability to effectively convey impactful technical and business messages across engineering, leadership, and client stakeholders.
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