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Senior Principal Consultant
2 months ago
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Transformation happens here. Come, be a part of our exciting journey
As a Solutions Architect, you will liaise with clients to:
Responsibilities
- Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing and product teams
- Translate business requirements to technical solutions leveraging strong business acumen
- Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms
- Develop solution proposals that provide details of project scope, approach, deliverables and project timeline
- Provide architectural expertise to sales, project and other analytics teams.
- Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions
- Provide solution oversight to delivery architects and teams
Minimum Qualifications
- Skills and attributes for success
- Experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
- Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies
- Ability to estimate complexity, effort and cost
- Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops
- Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines
- Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault
- Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenisation techniques
- Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools
- An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models
Preferred Qualifications/skills
- Experience in engaging with both technical and non-technical stakeholders
- Strong consulting experience and background, including engaging directly with clients
- Demonstrable Cloud experience with Azure, AWS or GCP
