- Our customers are looking for differentiating their businesses by leveraging Data as a strategic asset. You goal would be to engage customers in envisioning and building creative modern data solution such as cloud native Data platform implementation, BI and Analytics solutions.
- Collaborating with customer stakeholders, IT leadership, Architecture leadership to develop modern data solution and architecture, especially for cloud native Data platforms solution architecture using Azure cloud platform.
- Developing technology roadmaps and best practice with precise steps of how to get there including architecture design, data modelling, and implementation of Modern Data platform and analytics use cases across the analytics maturity.
- Lead strategy session for Data & Analytics maturity with a focus of fulfilling business requirements around performance, scalability, flexibility, and cost.
- Provide insights into modern Data & Analytic technologies and new use cases business intelligence and predictive analytics.
- Lead design, prototyping and delivery of software solutions within the cloud data eco-system to help develop new capabilities for customer business (P&C Insurance)
- Lead modern data solution conversations as technology expert to help customer see modern data solutions as enable for organization to be data driven.
- Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery.
- Should have 10+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics
- Should have experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.
- Strong knowledge of cloud native data platform architectures, data engineering and data management
- Good knowledge of popular database and data warehouse technologies from Snowflake Microsoft Azure SQL Data Warehouse
- Demonstrated knowledge of data warehouse concepts. Strong understanding of Cloud native databases, columnar database architectures
- Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.
- Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques
- Exposure to varying databases – NoSQL (at very minimum Key value stores and/or Document stores), Appliances. Be able to cite implementation experiences constraints and performance challenges in practice.
- Preferable (Nice to have): Implementing analytic models using AWS SageMaker for production workloads.
- Data Mesh and Data Products designing, and implementation knowledge will be an added advantage.
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Azure Data Architect - Piscataway, United States - ValueMomentum
Description
Responsibilities:
Skills & Experience
About ValueMomentum:
ValueMomentum is a software & solutions firm focused on the Insurance, Banking & Lending and Healthcare industries. Our industry focus, expertise in technology backed by R&D and our customer-first approach uniquely positions us to deliver the value we promise, and drive momentum to our customers' initiatives. Headquartered in Piscataway, NJ, ValueMomentum is amongst the top 10 Insurance-focused IT services firms in North America in terms of number of customers and leading Insurers, Banks and Healthcare firms trust ValueMomentum with their core transformation and digital transformation initiatives.
ValueMomentum is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
