Senior Specialist - Systems Architecture DataPrinceton, New Jersey, United StatesSkillsData, Systems Architecture, Data Lake, Azure, Data Architecture Design, Data Management & Integration Design, Data Documentation, Logical, and Physical Data Models, Data Architect, MongoDB, NoSQL, PostgreSQL, Databricks, SQL, ETL, MDM, Azure Data FactoryJob DescriptionThis is a unique opportunity to exercise your creativity and make an immediate impact across an entire enterprise.Become a key player in vision of revolutionizing its data architecture with the latest technologies, including Data Lake & Azure CloudVery high buy-in and visibility by senior business management.A chance to gain valuable domain experience in large and dynamic insurance sector of the economy.Design and build data models for applications.Design, develop and implement strategic conceptual, logical, business and application data models.Ensure the quality of data and primary advocate of data modeling methods and data.Develop and deliver long-term strategic goals for data architecture vision.Establish processes for governing the identification, collection, and use of corporate metadata.Create methods for tracking such data for quality, completeness, redundancy, and improvement.ResponsibilitiesData Architecture DesignData Management & Integration DesignData DocumentationDesigning and maintaining the data models, including conceptual, logical, and physical data modelsSelecting appropriate databases and data storage technologies, designing the overall structure of the data pipeline, and ensuring that the data architecture is scalable and efficient.Designing and implementing data integration solutions to integrate data from various sources.Designing and implementing data migration solutions to ensure that data can be migrated from one system to another efficiently and effectively.Design and create data architecture, metadata, and repositories.Develop and deliver long-term strategic goals for data architecture vision.Evaluate hardware and software platforms.Strategize what the best practices are in relation to data security, backup, disaster recovery and business continuity.Qualifications7-10 years of experience as a data architectExperience working on enterprise data lake projects, business intelligence tools & cloud deployments.College degree or equivalent experienceExperience with MongoDB or another NoSQL database, PostgreSQL, or any relational databaseExperience with Data Lake, Databricks, SQL, ETL and MDMExperience with data integration services such as Azure Data FactoryExperience with AzureExperience with business intelligence tools. PowerBI or Qlik is preferred