Senior Specialist

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