Phaxis

Seeking a highly skilled and experienced Sr Cloud Data Architect with Database Engineering and Data Warehousing/Data Modeling/Data Architecture and strong Financial Services knowledge.. As a Database Engineer, you will play a crucial role in the design, development, and maintenance of our databases, ensuring optimal data organization, performance, and integrity.. Snowflake Cloud Database and AWS: Experience with Snowflake cloud database and AWS, and migrate data into the Cloud.. Data Warehousing: Possess good experience in Data Warehousing, including designing and building data warehouses to facilitate effective data reporting and analysis.. Front Office Experience: Familiarity with Front Office operations and data requirements is a plus, as it will enable the candidate to better align database development with business needs.

financial services

Salary is 150k to 225k + bonus Hybrid position Seeking a highly skilled and experienced Sr Cloud Data Architect with Database Engineering and Data Warehousing/Data Modeling/Data Architecture and strong Financial Services knowledge. The ideal candidate should have a strong background in SQL Server database Engineering and possess 7 to 20 years of relevant experience in the field. As a Database Engineer, you will play a crucial role in the design, development, and maintenance of our databases, ensuring optimal data organization, performance, and integrity. Responsibilities:1. Snowflake Cloud Database and AWS: Experience with Snowflake cloud database and AWS, and migrate data into the Cloud. Experience with Glue.2. SQL Server Database Development: Develop and maintain SQL Server databases, ensuring data accuracy, security, and performance. Implement best practices for database design and optimization.3. Query Writing: Create efficient and well-structured database queries, stored procedures, functions, and other database objects to support application requirements and data processing needs.4. Data Warehousing: Possess good experience in Data Warehousing, including designing and building data warehouses to facilitate effective data reporting and analysis.5. Data Modeling: Participate in data modeling activities to design and optimize database structures, ensuring data is appropriately structured for efficient retrieval and storage.6. ETL (Extract, Transform, Load): Develop ETL processes to extract data from various sources, transform it into the required format, and load it into the databases.7. Requirement Translation: Work closely with business analysts and stakeholders to translate business requirements into detailed database specifications and data models.8. Financial Services Industry Experience: Prior experience in the Financial Services industry is required.9.Utilize Python or Java to develop Data Pipelines. Plusses:1. Front Office Experience: Familiarity with Front Office operations and data requirements is a plus, as it will enable the candidate to better align database development with business needs.2. Oracle: While SQL Server expertise is the primary requirement, additional experience with Oracle databases would be advantageous.

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