Data Architect
Data Architect
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Salary Not Disclosed
1 Vacancy
Job Description
Email:
Cell: (732)
Email:
Cell: (732)
Minimum Required KSAs:
- 4 years of experience in Synapse Analytics Dedicated SQL Pools Azure SQL Database and Azure Managed Instance.
- 5 years of experience in DDL DML TSQL skills advanced stored procedure writing skills tables primary keys foreign keys constraints indexes transactions process logging and error handling.
- 4 years of experience in data architecture design principles methodologies and best practices.
- 3 years of experience in data governance principles and compliance requirements related to data security and privacy.
- 3 years of experience in integrating data from various sources and managing large data pipelines.
- 2 years of experience in cloud computing concepts particularly in Microsoft Azure including storage solutions and computer capabilities.
- 1 years of Experience with programming languages such as Python or Scala.
- 1 years of experience in Salesforce Message MQ and MuleSoft
- Strong analytical and problemsolving skills to address complex data challenges.
- Ability to design and implement robust scalable and efficient data architectures.
- Ability to provide excellent customer support; meticulous quality of work and work product
Minimum Required KSAs:
- Candidates Work with stakeholders and development team to determine project scope and vision gather and prioritize collected requirements.
- Designing and Implementing Data Architectures: Develop comprehensive data architectures that support the organizations business goals using Azure Synapse Analytics Azure SQL and other Azure data services.
- Managing Dedicated SQL Pools: Efficiently manage and optimize Dedicated SQL Pools in Synapse to handle largescale data warehousing and analytics workloads.
- Database Design and Management: Design implement and manage databases using Azure SQL and Azure Managed Instance ensuring high performance availability and security.
- Data Integration and ETL Processes: Develop and manage ETL (Extract Transform Load) processes using Synapse Pipelines ensuring efficient data flow from various sources to the data warehouse.
- Data Governance and Cataloging: Implement data governance practices and manage the data catalog to ensure data quality consistency and accessibility.
- Building and Maintaining Data Models: Create and maintain data models that accurately represent the data landscape ensuring they are scalable and optimized for performance.
- Ensuring Data Security and Compliance: Implement and oversee data security measures ensuring compliance with legal and regulatory standards.
- Maintain procedures manuals and system documentation.
- Research software solutions to support recommendations analyzing current and future technology trends.
- These positions are to provide technical guidance and expertise in supporting the department in developing architecting and maintaining data data mappings and monitoring highvolume complex data transfer processes.
Employment Type
Full Time
