REF29762A – Associate Director – RNA (Azure Data Architect)

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description

Skills – Azure Data Architect 

Job ResponsibilitiesYou will be responsible for designing Data Engineering solutions and drive customer conversations to onboard them on the Architecture and Engineering solutions that are proposed. You will also be responsible for guide existing Data Engineering implementations in design, develop, maintaining, and testing data solutions with a wide variety of data platforms including relational databases, big data platforms and no-sql databases. You will collaborate with BI visualization experts, Industry SMEs, Data scientists and client Experts to drive data related projects. You will be responsible to respond to any pre-sales/solutions on Data Engineering space. You will develop various data ingestion transformation routines to acquire data from external data sources. You will be involved in securing access to the data based on appropriate rights, implementing data quality routines and mechanisms to flag bad data for correction, and building QA and automation frameworks to monitor daily ingestion of data and provide alerts on errors and other problems.Required Skills14+ years of experience in a Data Engineering/Architecture or similar role BE/B.Tech or Advanced degree in a relevant field (Computer Science and Engineering, Technology and related fields) Expertise in architecting and designing for Data Solutions, Security Constraints, Resiliency, High-Availability, Fault Tolerance, and Scalability Strong experience in implementing Data Lake/Data Hub solutions on Azure cloud(ADF, Data Bricks, Azure Synapse etc.)Strong experience with various architecture patterns like Data lake, EDW, Data Mesh, Data Vault Had participated in creating Enterprise Architecture and Solutioning Efforts to Define and Develop Big Data Components Strong pre-sales/solutions experience on Data Engineering opportunities Actively help organization in creating new frameworks/accelerators for Data Engineering space Deep Knowledge of Best Practices Through Relevant Experience Across Data-Related Disciplines and Technologies, Particularly For Enterprise-Wide Data Architectures, Data Management, Data Governance And Data Warehousing Establish governance and enforce quality standards for cloud software and infrastructure architectures (IaaS, PaaS and SaaS) Experience in cloud replication strategies and architecture, as well as promoting a DevOps culture within the organization to support the CI/CD deployment process. Architect data integrations solutions in both batch and real-time to support functional and non-functional requirements of data projects. Architect and design solutions to advance data quality, metadata, data security, and data integration. Strong knowledge of what works and what doesn’t. This includes common pitfalls and mistakes when designing a data pipeline Identify, evaluate and introduce new technology components to support the advancement of new business capabilities. Excellent knowledge of data technologies including traditional (RDBMS) , non-traditional (NoSQL) platforms and BigData platforms Strong Data Modelling experience. Experience with Data Modeling tools (Erwin, Rdbms & Nosql) & Data Virtualization (Denodo, Tibco) Establish and maintain policies and data standards. Experience working with API data integration. Proven success in communicating with client counterparts, technical teams, and senior management to collect user requirements, describe data modelling decisions and data engineering strategy. Support teams to implement architected solutions.

Qualifications

BE or BTech