Azure Synapse Data Modeler Job Description Template
In this role, you will be responsible for developing and maintaining robust data models and pipelines using Azure Synapse. You will collaborate with various teams to ensure data accuracy, efficiency, and accessibility, aiding in the organization's data-driven decision-making process.
Responsibilities
- Design and implement data models using Azure Synapse.
- Develop and optimize ETL pipelines for data ingestion and transformation.
- Collaborate with cross-functional teams to understand business requirements.
- Ensure data quality, integrity, and security.
- Perform data analysis and generate reports as needed.
- Troubleshoot and resolve data issues and discrepancies.
- Maintain comprehensive documentation for data models and pipelines.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in data modeling and ETL processes.
- Proficiency in Azure Synapse and SQL.
- Strong understanding of data warehousing concepts.
- Experience with data visualization tools is a plus.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
Skills
- Azure Synapse
- Data Modeling
- SQL
- ETL Tools
- Data Warehousing
- Data Analysis
- Data Security
- Problem-Solving
- Documentation
Frequently Asked Questions
An Azure Synapse Data Modeler designs, implements, and manages data models in the Azure Synapse Analytics environment. They leverage Synapse features like data lakes, databases, and pipelines to ensure data is accessible, consistent, and aligned with organizational goals. They collaborate with data engineers and analysts to optimize data workflows.
To become an Azure Synapse Data Modeler, one should pursue a bachelor's degree in Computer Science or a related field, focusing on database technology and design. Gaining hands-on experience with Azure Synapse Analytics, along with mastering data modeling tools and methodologies, is crucial. Professional certifications in data management or Azure technologies add value.
The average salary for an Azure Synapse Data Modeler can vary depending on location, experience, and company size. Generally, this role can expect competitive compensation due to the specialized skills required, with salaries often comparable to other advanced data modeling positions within the tech industry.
An Azure Synapse Data Modeler should possess a solid educational background in computer science or information technology, along with expertise in data modeling concepts. Familiarity with Azure Synapse Analytics and related Azure services is critical. Certifications in Azure solutions or data management tools further enhance a candidate's qualifications.
Essential skills for an Azure Synapse Data Modeler include proficiency in Azure Synapse Analytics, data modeling techniques, and SQL. Responsibilities involve designing efficient data architectures, ensuring data integrity, and collaborating with IT professionals. A strong grasp of cloud computing and database management is also crucial for success in this role.