IN-Manager Data Architect_Digital Integration_Advisory_Kolkata

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism OperationsManagement Level ManagerJob Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data architecture at PwC, you will focus on designing and implementing the structure and organisation of data assets within the organisation. Your work will involve developing data models, defining data standards, and establishing data integration frameworks. You will assist in confirming that data is stored, accessed, and utilised efficiently, enabling seamless data flow across systems and supporting effective data management practices.*Why PWC about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Experience:We are seeking an experiencedAzureData Architectwith strong expertise in designing, architecting, and implementing enterprise-scale data platforms on Microsoft Azure. The ideal candidate will play a strategic role in defining modern data architecture, enabling scalable, secure, and future-ready data solutions, and driving data transformation initiatives for clients across industries. In this role, you will work closely with business stakeholders, engineering teams, analysts, and leadership to deliver cloud-native data platforms, analytics solutions, governance frameworks, and AI-enabled data ecosystems aligned with business goals. Collaborate with business stakeholders, solution teams, and clients to understand data requirements and translate them into scalable Azure-based data architecture solutions.Design and implement modern data platforms on Azure using services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Azure SQL, and Microsoft Fabric where applicable.Define end-to-end data architecture including ingestion, transformation, storage, semantic modeling, data serving, security, and monitoring.Create architecture blueprints, data models, solution design documents, and implementation roadmaps aligned to enterprise data strategy.Design batch and real-time data pipelines for structured, semi-structured, and unstructured data sources.Lead data migration and modernization initiatives from on-premise or legacy platforms to Azure cloud.Establish best practices for data governance, master data management, metadata management, data lineage, and data quality.Ensure security, privacy, and compliance requirements are embedded in data solutions, including role-based access control, encryption, and regulatory adherence.Partner with engineering and DevOps teams to enable CI/CD, infrastructure as code, automation, and environment standardization for data platforms.Provide architectural guidance on performance optimization, cost optimization, scalability, disaster recovery, and high availability.Support analytics and reporting use cases by enabling curated data layers for BI tools such as Power BI and enterprise reporting platforms.Review solution designs and code artifacts to ensure alignment with architectural standards and industry best practices.Lead technical discussions, architecture governance forums, and client workshops to drive decision-making and stakeholder alignment.Mentor data engineers, analysts, and technical teams on Azure architecture patterns, implementation standards, and modern data engineering practices.Monitor project progress, identify architecture risks/issues, and provide mitigation strategies to ensure successful delivery.Continuously evaluate emerging Azure data services and recommend innovations to improve platform capability and business value.Apply working knowledge of Generative AI tools and AI-assisted productivity platforms to improve solution design, documentation, code acceleration, data discovery, and delivery efficiency.Identify appropriate use cases for Gen AI within data platforms, including intelligent search, na .