Job Description :
12-15 years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems
Experience in defining & realizing end-to-end Solution Architecture for large & complex systems
Experience in designing applications on Azure
Proficient in reviewing technical documents like Architecture views, Technology Architecture blueprint and design specification
Follows technology trends and is able to correlate them with business
Experience in Architecture consulting engagements
Ability to frame architectural decisions, provide technology leadership & direction
Excellent problem solving, hands-on engineering and communication skills
Developing and maintaining strong client relations with senior and C-level executives— developing new insights into the client’s business model and pain points, and delivering actionable, high-impact results
Participating and leading client engagement in developing plans and strategies of data management processes and IT programs for the clients, providing hands on assistance in data modeling, technical implementation of vendor products and practices
Scope Client requirements. Specify solutions and articulate value to customers. Provide best practice advice to customers and team members.
Technology & Engineering Expertise
Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a Spark based Data Engineering solution
Extensive experience in data modeling and database design involving any combination of - Azure Data warehousing and Business Intelligence systems and tools, Relational and MPP database platforms or Open source Bigdata stack.
Hands-on administration, configuration management, monitoring, performance tuning of Spark/Distributed platforms
Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data
Hands on experience in architecting solutions involving the technologies Bigdata, Spark, Azure SQL DWH, Azure SQL, Cosmos DB, Azure App Services & Power BI
Hands on experience in working with Databricks Spark

Key Responsibilities
Define and own Solution Architecture on Big Data , Spark & Azure services from definition phase to go-live phase
Ensure clarity on NFR and address these requirements during Architecture definition phase & make sure these are realized during engineering and deployment phase
Define Logical, Technical & Physical views of Architecture proposed for Big Data
Define reusable components/frameworks, common schemas, standards & tools to be used
Review design to make sure design is aligned with Architecture