PwC
Architect/Delivery Lead- Senior Manager
Skills
Job description
Industry/Sector
Not Applicable
Specialism
Product Innovation
Management Level
Senior Manager
Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
At PwC
AC, we are looking for an Azure Senior Manager
Data & AI who will have:
Passion for technology, in the space of Analytics
Hands-on experience in Cloud Analytics, Data Engineering
Hands-on experience in building large data repositories in Cloud
Hands-on experience in designing and implementing large-scale transformation programs in Cloud, Enterprise Data Management
Engage with business stakeholders, to understand client requirements and build technical solutions and delivery plans
Demonstrable technical knowledge in skills and streams mentioned in the Technical Skills section
Lead the end-to-end design and architectural strategy for TMT services solutions leveraging Azure and Databricks
Demonstrate strong business acumen with a proven ability to understand market dynamics, financial implications of operational choices, and deliver long-term strategic value
In-depth understanding of core banking systems, risk management, regulatory frameworks, and digital transformation in financial services
Experience in working with cross functional and geographically separated teams
Experience in technical scoping of projects, drawing delivery plans
Experience in leading technical teams, guiding and mentoring team members
Experience in presenting technical and business executive presentations to leadership
Responsible for the design and execution of abstractions and integration patterns (APIs) to solve complex distributed computing problems.
Years of Experience: 12 - 16 Years
Position Requirements:
Must Have Skills
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
Should be well versed with quality processes and implementation
Excellent communication skills
Business / domain knowledge in TMT Domain
Good knowledge of Application DevOps tools (Git, CI/CD Frameworks)
Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
Good understanding of Data Modeling and Data Architecture
Certification
Data Engineering on Microsoft Azure (DP 200/201/203) Azure Solutions Architect Expert (AZ 303/304)
Good to have skills
Cloud
AWS, GCP, Informatica-Cloud, Oracle-Cloud
Cloud DW - Snowflake, Databricks
Data Engineering
Java, Python, Pyspark, R-Programming
Data Integration
Informatica, DataStage, AbInitio
Business Intelligence
MicroStrategy, Business Objects, Cognos
Data Visualization
Tableau, Qlik
Data Appliance
Teradata, Netezza
Additional Skills
Excellent communication skills, client presence, presentation skills People skills, Leadership skills Engage with business and technical teams to drive consensus Experience in Pre-Sales and proposal response
Education
BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
Additional Information
Travel Requirements: Travel to client locations may be required as per project requirements.
Line of Service: Advisory
Horizontal: Technology Consulting
Designation: Senior Manager
Location: Bangalore, India
The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data Engineering team you will architect and deliver innovative data solutions that drive strategic impact for clients. As a Senior Manager, you will lead the design and implementation of large-scale transformation programs in Cloud, leveraging your knowledge to guide cross-functional teams and đảm bảo successful project outcomes.
Responsibilities
Architect and implement innovative data solutions for clients
Lead large-scale transformation programs in Cloud environments
Guide cross-functional teams to achieve project goals
Leverage knowledge to drive strategic impact in projects
Secure successful outcomes through adept project management
Collaborate with stakeholders to align on project objectives
Identify and mitigate risks throughout project lifecycles
Foster a culture of innovation and continuous improvement
What You Must Have
Bachelor's Degree
12 years of experience
Oral and written proficiency in English required
What Sets You Apart
Bachelor's Degree in Engineering, Computer Science, or related field preferred
Data Engineering on Microsoft Azure certification preferred
Azure Solutions Architect certification preferred
Demonstrating hands-on experience in Cloud Analytics
Leading large-scale transformation programs in Cloud
Engaging with business stakeholders to build technical solutions
Understanding core banking systems and digital transformation
Presenting technical and business executive presentations
Additional educational preferences: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
Travel Requirements
Not Specified
Job Posting End Date