Job Location: Bangalore, India
Client: A leading global provider of software solutions for the insurance industry.
Primary Responsibilities
Understand/Anticipate customer needs architecture & technicalities of Sapiens products and offering in the Data and Digital space.
Understand and enhance pre-designed insurance-specific data models.
Perform research & market/competitive analysis on the new technologies and trends emerging in the data & analytics space.
Provide end to end Insurance specific Data & Analytics solutions using multiple BI/DW, cloud, analytics, digital technologies, and polyglot architectures.
Work closely with customers & understand their Data & Analytics technology landscape.
Work with pre-sales teams in creating & demonstrating winning Proofs of Concept to Technical Architects and Management Executives.
Create overall Solution Design & Infrastructure sizing documents based on estimated customer growth scenarios.
Work with delivery teams for effort estimations and delivery planning.
Drive creation of reusable components, frameworks, methodologies, and models
Work with data & digital product teams in creating the technical strategy, architecture designs, future-proof product & delivery roadmap for DWH, Analytics, Cloud, Portals, Chatbot, Reporting and other solutions.
Setup modelling, design processes; conduct architectural reviews and own the solution designs.
Establish standards, guidelines, and procedures for the data management lifecycles.
Master data management system and process design and implementation.
Data quality system and process design.
Mentor / Coach Juniors in the practice to reach the level of Solution Architects
Education, Experience and Competencies
Min 12 years of experience within IT space.
At least 8 years of experience in Data Warehousing/Big Data and Analytics/Digital space.
Experience of working on large migration / digital transformation project is preferred.
Experience of working with the cloud technologies is desirable – Azure, AWS, GCP.
Hands on experience as Data Modeller or ETL/Report Developer on at least 2 Data projects is desirable.
Hands on experience of working with big data & Streaming technologies (Kafka, Spark, Java, Python, Hadoop, No SQL) is preferred
Experience of other third-party BI tools and Data Visualisation Products such as Tableau, PowerBI, D3.js, Qlikview is an advantage.
Exposure to models like IIW, FS-LDM, ACORD is good to have.
Prior experience in Insurance domain is good to have.
Experience of solution shaping and architecture development during pre-sales stages is good to have.
Experience with best practice design principles (e.g., Inmon/Kimball/Data Volt) and approaches for a range of application styles and technologies to help guide and steer decisions.
Experience of motivating and enhancing Team performance including supporting team members to manage and progress their career is good to have.
Masters in Engineering / MCA is preferred.
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