IN_Senior Manager_Enterprise Data Architect_D&A_Advisory_PAN India

Job Description & Summary: PwC India is seeking a highly experienced and strategic Enterprise Data Architect to lead the design and implementation of enterprise-wide data architecture solutions for clients across industries. This role involves shaping data strategies, architecting scalable and secure data platforms, and driving digital transformation programs centered on data management, governance, and analytics. The ideal candidate will possess deep expertise in data architecture frameworks, strong consulting and stakeholder management skills, and a proven track record of delivering robust data solutions that enable business agility and innovation. This position plays a critical role in defining data standards, enabling data-driven decision-making, and fostering an enterprise data culture for clients. Job Position Title: IN_Senior Manager_Enterprise Data Architect_D&A_Advisory_PAN India Responsibilities: Lead the enterprise data architecture design and development initiatives spanning data ingestion, storage, processing, integration, and analytics layers. Define enterprise data strategies aligned with client business goals and technology roadmaps to support data-driven transformation. Architect scalable, secure, and cost-effective data platforms leveraging cloud-native and hybrid environments including data lakes, warehouses, and data meshes. Establish data governance frameworks, metadata management, data quality standards, and master data management (MDM) strategies. Collaborate with data engineers, data scientists, analytics teams, and IT/security functions to implement best practices in data architecture and lifecycle management. Guide the selection and evaluation of data technologies, tools, and platforms suited for enterprise needs such as Snowflake, Databricks, Azure Synapse, AWS Redshift, Hadoop, or equivalent solutions. Drive the adoption of modern data paradigms including event streaming, real-time analytics, data virtualization, and self-service BI. Provide architectural oversight for ETL/ELT processes, data pipelines, API-led data integration, and data security compliance. Support enterprise-wide data modernization and cloud migration initiatives by collaborating with infrastructure and cloud architects. Facilitate workshops, technical design sessions, and governance forums with client stakeholders and delivery teams. Publish architecture artifacts including principles, reference architectures, standards, and roadmaps. Mentor junior architects and technologists to build strong enterprise data capabilities. Stay abreast of industry trends and emerging technologies in data architecture, analytics, and data management. Mandatory Skill Sets: Extensive experience (12+ years) in enterprise data architecture, designing large-scale data platforms and advanced analytics environments. Deep knowledge of data modeling (conceptual, logical, physical), data integration patterns, metadata management, and data governance frameworks. Proven expertise in cloud data platforms such as Azure Data Platform, AWS Data Services, Google Cloud BigQuery, Snowflake, or Databricks. Strong understanding of data storage technologies including relational databases, NoSQL, data lakes, and data warehouses. Hands-on experience in designing data pipelines, ETL/ELT workflows, streaming data architectures, and API-based data integration. Familiarity with data security, privacy compliance (GDPR, CCPA), and data quality management practices. Proficiency in scripting languages (Python, SQL) and data orchestration tools (Airflow, Azure Data Factory, etc.). Experience with containerization (Docker, Kubernetes), CI/CD, and DevOps practices relevant to data engineering. Ability to translate complex business requirements into scalable data solutions and architecture blueprints. Demonstrated leadership in managing stakeholder engagements, conducting architecture reviews, and driving data governance initiatives. Excellent communication skills and consulting capabilities to work with technical teams and business leaders. Preferred Skill Sets: Experience in modern data paradigms such as Data Mesh, Data Fabric, or Lakehouse architectures. Knowledge of master data management (MDM) and data catalog tools (Informatica, Collibra, Alation). Exposure to AI/ML data infrastructure and integration with data science platforms. Familiarity with cloud-native data security and encryption mechanisms. Prior consulting experience driving enterprise digital transformation and data modernization at scale. Certifications in TOGAF, Cloud Architecture (Azure Solutions Architect, AWS Certified Solutions Architect), or Data Management (CDMP) are desirable. Years of Experience Required: 12-16 Years Education Qualification: BE / <B.Tech> / ME / <M.Tech> / MCA / MBA / PGDM (Data Science, Computer Science, Information Systems, Engineering, or related disciplines)