Data Architect

Role: Data Architect (Modern Data Platform ) Location: Erie, PA Long Term Key Responsibilities: 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 AWS 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 Desired Skill, Experience, Qualifications, Certifications etc. Should have 10+ years of experience with last 2 years in implementing Cloud native Data Solutions for variety of data consumption needs such as Modern Data warehouse, BI, Insights and Analytics Should have experience in architecture and implementing End to End Modern Data Solutions using AWS, Redshift, S3 and NoSQL databases Strong knowledge of cloud native data platform architectures, data engineering and data management Good knowledge of popular database and data warehouse technologies from Microsoft, Amazon, Redshift, 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 AWS Glue, 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 Exposure to Streaming/Event based architecture - Unbounded, Bounded streams, maintaining states, constraints. Use of supporting technology blocks - low latency stores, messaging etc. Broad understanding of data consumption patterns such as spectrum of Analytics maturity, Data Warehousing, BI & Modern Insights Preferable (Nice to have): Implementing analytic models using AWS SageMaker for production workloads Maintec Technologies