Senior Data Architect Specialist
hace 1 día
Company Overview:
People are at the center of everything we do at Thyssenkrupp Elevator – we work as one team, watch out for each other's safety and share a common vision to keep the world moving. This is your chance to go beyond and impact the future of urban mobility.
Job Summary:
We are seeking an experienced Data Architect to join our team. As a key member of our data infrastructure group, you will be responsible for designing and implementing scalable, high-performance data storage solutions, developing and maintaining data models and database designs, and creating and optimizing data pipelines and workflows.
Key Responsibilities:
- Design and Develop Data Architectures:
• Architect and implement scalable, high-performance data storage solutions (data warehouses, data lakehouses).
• Develop and maintain data models and database designs that meet business and technical requirements.
• Create and optimize data pipelines and workflows for efficient data processing. - Implement Data Solutions:
• Build robust ETL/ELT processes to extract, transform, and load data from various sources.
• Ensure data architectures support advanced analytics, reporting, and business intelligence needs.
• Integrate structured and unstructured data sources to enable comprehensive data analysis. - Technical Leadership:
• Provide expertise in data architecture to guide development teams and ensure best practices.
• Lead technical projects related to data infrastructure and systems.
• Collaborate with data engineers and developers to implement data solutions effectively. - Ensure Data Quality and Security:
• Implement data governance policies and data quality standards.
• Monitor data systems for performance, reliability, and security compliance.
• Apply data security measures to protect sensitive information and ensure regulatory compliance. - Stay Current with Emerging Technologies:
• Research and evaluate new technologies and tools to enhance data architecture.
• Incorporate industry best practices and innovative solutions into Thyssenkrupp Elevator's data strategy. - Optimize System Performance:
• Tune databases and data processing systems for optimal performance.
• Resolve technical issues related to data architecture and improve system scalability.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Experience in data architecture, data engineering, or a similar technical role.
- Proficient in SQL and programming languages such as Python.
- Hands-on experience with big data technologies like Apache Spark.
- Strong knowledge of Azure cloud services, including Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure Analysis Services.
- Familiarity with BI tools like Power BI (preferred), Tableau, or Qlik.
- Deep understanding of normalized and denormalized data structures, relational and dimensional data models.
- Experience with data warehouse concepts, data mesh, medallion/lakehouse architectures, and ETL/ELT processes.
Salary Range: $120,000 - $180,000 per year
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