PwC
Website:
pwc.com
Job details:
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 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
- Lead the design, architecture, and implementation of scalable data platforms and solutions across the finance domain
- Guide the assessment and implementation of finance data marketplaces, ensuring seamless integration across business units
- Architect end-to-end data integration strategies to support financial systems, reporting, forecasting, and planning
- Work closely with finance business leaders to understand requirements and translate them into technical data solutions
- Demonstrable technical knowledge in skills and streams mentioned in the Technical Skills section
- Lead the end-to-end design and architectural strategy for banking and financial services solutions leveraging Azure and Databricks
- 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 Data Services, Databricks, and Snowflake.
- 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
- Drive adoption and rollout of Power BI dashboards, standardizing reporting and enabling self-service BI capabilities for finance stakeholders.
- Should be well versed with quality processes and implementation
- Excellent communication skills
- Business / domain knowledge in Financial Services Domain with familiarity with data compliance standards (PCI DSS, GDPR, etc.)
- 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
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 cloud data solutions that drive business success. As a Senior Manager, you will lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a significant level to deliver quality results.
Responsibilities
- Architect and implement innovative cloud data solutions
- Lead large-scale projects to drive business outcomes
- Confirm operational excellence through process innovation
- Engage with clients to deliver impactful results
- Collaborate with cross-functional teams to enhance data strategies
- Analyze complex data challenges and develop practical solutions
- Maintain standards of quality in project execution
- Foster a culture of continuous improvement within the team
What You Must Have
- Bachelor's Degree
- 14 years of experience
- Oral and written proficiency in English required
- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
What Sets You Apart
- Certification on AWS Architecture
- Excelling in AWS cloud technology and architecture
- Leading teams in cloud data engineering solutions
- Designing scalable data architectures with Snowflake
- Guiding teams in data modeling and optimization
- Skilled in Big Data frameworks and technologies
- Analyzing and troubleshooting performance in Spark
- Understanding data migration processes and project lifecycle
Click on Apply to know more.