Director - RNA (Data Solution Architect-GCP)

REF33473E-Associate Director - RNA (Data Solution Architect-GCP)

Full-time 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 Responsibilities: Design Data Engineering solutions and lead customer conversations to onboard them on proposed Architecture and Engineering solutions. Guide existing Data Engineering implementations in designing, developing, maintaining, and testing data solutions across various data platforms. Collaborate with BI visualization experts, Industry SMEs, Data scientists, and client Experts to drive data-related projects. Respond to pre-sales/solutions inquiries in the Data Engineering space. Develop data ingestion transformation routines to acquire data from external sources. Secure access to data based on appropriate rights, implement data quality routines, and mechanisms to flag bad data for correction. Build QA and automation frameworks to monitor daily data ingestion, providing alerts on errors and other issues. Required Skills: 14+ years of experience in Data Engineering/Architecture or similar roles. BE/B.Tech or Advanced degree in a relevant field (Computer Science and Engineering, Technology, etc.). Expertise in architecting and designing Data Solutions, focusing on Security Constraints, Resiliency, High-Availability, Fault Tolerance, and Scalability. Strong experience in implementing Data Lake/Data Hub solutions on cloud platforms (Azure/AWS/GCP). Familiarity with various architecture patterns like Data Lake, EDW, Data Mesh, and Data Vault. Participation in creating Enterprise Architecture and Solutioning efforts for Big Data Components. Strong pre-sales/solutions experience in Data Engineering opportunities. Contribution to creating new frameworks/accelerators for Data Engineering. Deep knowledge of Best Practices across Data-related disciplines and technologies. Experience establishing governance and enforcing quality standards for cloud software and infrastructure architectures. Familiarity with cloud replication strategies, promoting a DevOps culture, and supporting CI/CD deployment processes. Architecting data integration solutions in batch and real-time to meet functional and non-functional requirements. Designing solutions to enhance data quality, metadata, data security, and data integration. Knowledge of common pitfalls and mistakes in designing data pipelines. Identifying, evaluating, and introducing new technology components to support new business capabilities. Strong experience in data modeling and familiarity with data modeling tools (Erwin, RDBMS & NoSQL) and Data Virtualization (Denodo, Tibco). Establishing and maintaining data policies and 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 modeling decisions, and data engineering strategy. Supporting teams in implementing architected solutions.

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