Live opening · Posted 5 days ago
The key details from the original listing.
Description supplied by the original job listing.
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 Architect/Delivery Lead- Senior Manager you will lead client support efforts within our Data and Analytics Engineering practice, guiding multidisciplinary teams through the design and delivery of data engineering solutions that advance data modernisation priorities. As a Senior Manager you will apply strategic judgment, drive large programs, and bring together technical skills, business insight, and clear communication to manage complex workstreams, resolve issues, and shape outcomes across multiple stakeholders. In this role at PwC, you will oversee delivery across cloud engineering, data architecture, and engineering execution, while helping teams adapt approaches, communicate progress, and maintain operational discipline across client engagements.
Responsibilities
Leading data engineering architecture and delivery workstreams across cloud-based modernization initiatives
Translating client goals into scalable data platform designs, delivery plans, and technical roadmaps
Guiding teams in building, integrating, and tuning data pipelines, data lakes, and warehouse solutions
Applying Azure Data Factory, Databricks, Snowflake, Airflow, and Hadoop to support modern data environments
Driving data modeling, transformation, validation, and quality practices across complex implementations
Advising clients on data architecture, platform selection, security controls, and performance optimization
Coordinating delivery across technical teams, client stakeholders, and business leaders to address risks and dependencies
Coaching delivery teams through ambiguity, prioritization changes, and complex technical problem solving
Developing repeatable methods for Agile scalability, rapid experimentation, and data modernization execution
Validating solution designs and implementation outcomes against business objectives, technical requirements, and delivery timelines
What You Must Have
At least a Bachelor's degree
At least 12+ years of experience
Oral and written proficiency in English required
Proficient with Azure cloud computing, including big data technologies.
Experience with deep understanding in both traditional and modern data architecture and processing concepts including relational databases (e.g., SQL Server, MySQL, PostgreSQL), Data warehousing, big data, NoSQL and business analytics
Rich experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services
Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming
Understanding of big data use-cases and Lambda/Kappa design patterns
Knowledge of real time/stream analytics trends.
Architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.)
Demonstrable hands-on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services
Azure SQL DB, Azure Synapse Analytics, Azure HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Machine Learning, Stream Analytics, Azure Data Factory, Azure CosmosDB and Power BI
Exposure to Open-Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search
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
Demonstrating data modernization delivery across complex client environments
Applying data architecture, modeling, and pipeline design skills
Leveraging AWS, Azure, or Databricks platform experience
Translating technical findings into clear client messages
Coaching teams through ambiguity and project complexity
Work arrangement
No
Live timing from JobBeeper.
Recently tracked roles with full details and direct application links.