Senior Data Architecture Engineer
1 week ago
Join bizaccenknnect as a Senior Data Architecture Engineer and take on the challenge of designing and implementing scalable and robust data architecture solutions using Azure services. With a focus on collaboration with stakeholders to gather data requirements and translate them into efficient data models, you will play a key role in developing, implementing, and maintaining data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other relevant technologies.
Key Responsibilities:
- Data Architecture: Design and implement scalable and robust data architecture solutions using Azure services.
- Data Engineering: Develop, implement, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other relevant technologies.
- Optimization and Troubleshooting: Optimize and troubleshoot data workflows to ensure data accuracy, completeness, and timeliness.
- Technical Expertise: Technical expertise with advanced data models, DWH concepts for both structured & unstructured data, spark, and NoSQL databases.
- Data Synthesis: Develop the data migration patterns for the data movement, data synchronization, and data cutover approaches.
Azure Expertise:
- Proficiency in Azure Services: Demonstrate proficiency in utilizing Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, and others.
- Staying Current: Stay current with Azure updates and incorporate new features and functionalities into the data architecture.
- CI/CD in Azure DevOps: Should be well familiarized with CI/CD in Azure DevOps platform.
Data Integration:
- Integrating Data Sources: Integrate data from various sources, both on-premises and in the cloud, to create a unified and comprehensive view.
- Data Integration Patterns: Implement data integration patterns and best practices in an Azure environment.
Performance Optimization:
- Identifying Performance Issues: Identify and implement performance optimization strategies for data storage, processing, and retrieval within the Azure environment.
- Performance Monitoring: Conduct regular performance monitoring and tuning activities.
Data Governance and Security:
- Data Governance Principles: Implement data governance principles to ensure data quality, integrity, and compliance.
- Collaboration with Information Security: Collaborate with the Information Security team to incorporate security measures into data solutions.
Documentation:
- Comprehensive Documentation: Create and maintain comprehensive documentation for data architecture, engineering processes, and system configurations.
- Maintaining Documentation: Ensure documentation is up-to-date and accessible to relevant stakeholders.
Cross-Functional Collaboration:
- Collaboration with Data Scientists: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver effective solutions.
Continuous Improvement:
- Staying Informed: Stay informed about industry trends, emerging technologies, and best practices in data architecture and engineering.
- Improving Efficiency: Propose and implement improvements to enhance the efficiency and effectiveness of data solutions.
Required Skills and Qualifications:
- Bachelor's Degree: Bachelor's degree in a relevant field (e.g., Computer Science, Information Technology, Data Engineering).
- Experience: 6+ years of experience in data architecture and engineering roles, with a focus on Azure.
- Proficiency in Azure Services: Strong proficiency in Azure services, particularly Azure Data Factory, Azure Databricks, and AzureSQL Database.
- Data Modeling and ETL: Solid understanding of data modeling, ETL processes, and data integration.
- Programming Languages: Experience in programming languages (SQL, Java, and Python).
- Analytical and Problem-Solving Skills: Analyze, design, implement, and test medium to complex mappings independently.
- Familiarity with Data Governance and Security Principles: Familiarity with data governance and security principles.
- Excellent Communication Skills: Excellent problem-solving and troubleshooting skills.
- Strong Analytical and Data Engineering Skills: Has strong analytical & data engineering skills including familiarity in working with different database systems & several programming languages.
Estimated Salary: $120,000 - $180,000 per year
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