Responsibilities:
- 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.
Experience:
- 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 compute 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.
Education: Bachelors or Masters Degree in Computer Science Information Systems or other related field. Or equivalent work experience. (Required)
Certifications: Microsoft Dynamics 365 Certification (Desired) and MS Dynamics Power Platform Certifications (Desired)
Candidate must be presented with 3 manager/client references from the past 3 years
- Reference contacts name
- Organization name
- Job title held by the candidate while employed or contracted
- Direct telephone number
- Email address