Azure Databricks Design And Architecture Senior Manager

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.
  
  

• 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
  
  

• 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
  
  

• Data Engineering on Microsoft Azure (DP 200/201/203)
• Azure Solutions Architect Expert (AZ 303/304)
  
  

• 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
  
  

• 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
  
  

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA