Azure Data Architecture Specialist
1 week ago
At DFCS Technologies, we're committed to excellence in data engineering. We're looking for a seasoned professional to spearhead our Azure data engineering efforts.
The estimated annual salary for this position is $180,000-$210,000, depending on location and experience.
About the RoleIn this critical position, you'll be responsible for crafting and implementing cutting-edge data pipelines using Azure Data Factory, Azure Synapse Analytics, and Databricks.
- Expertise
- Develop high-performance data ingestion, transformation, and loading processes to maximize data value.
- Design and optimize data pipelines for maximum efficiency and scalability.
- Guarantee data quality, integrity, and security throughout the entire data lifecycle.
- Leadership
- Lead and guide a team of skilled data engineers.
- Assign and monitor tasks, providing constructive feedback.
- Foster a dynamic and innovative team culture.
- Identify and recruit top talent to strengthen the team.
- Cloud Computing
- Create and deploy cloud-native data architectures on Azure.
- Utilize Azure Data Lake Storage for efficient data management.
- Integrate Azure Synapse Analytics for unified data processing and analytics.
- Explore the capabilities of Microsoft Fabric for enhanced data insights.
- Data Governance
- Establish and enforce data governance policies and standards.
- Implement data lineage and impact analysis for seamless data tracking.
- Monitor data quality and address any potential issues.
- Profound expertise in Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake Storage.
- Hands-on experience with SQL, Python, and PySpark.
- Detailed knowledge of data warehousing, data modeling, and ETL processes.
- Deep understanding of cloud computing principles and Azure services.
- Experience with data governance and quality assurance practices.
- Outstanding problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to lead and mentor a team of data engineers.
- Experience with Microsoft Fabric.
- Certifications in Azure Data Engineering or related fields.
- Knowledge of machine learning and AI concepts.
- Hands-on experience with DevOps practices and CI/CD pipelines.
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