Skills: Data, 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 Factory JOB DESCRIPTION: • This 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 Cloud • Very 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. RESPONSIBILITIES: • Data Architecture Design • Data Management & Integration Design • Data Documentation • Designing and maintaining the data models, including conceptual, logical, and physical data models • Selecting 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. QUALIFICATIONS: • 7 10 years of experience as a data architect • Experience working on enterprise data lake projects, business intelligence tools & cloud deployments. • College degree or equivalent experience • Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database • Experience with Data Lake, Databricks, SQL, ETL and MDM • Experience with data integration services such as Azure Data Factory • Experience with Azure • Experience with business intelligence tools. PowerBI or Qlik is preferred