Data Architect
New
100% Remote (Poland)Full-TimeSenior
Salary210 - 250 PLN per hour
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Job Details
- Languages
- En C1
- Experience
- 7+ years of experience in data architecture, data engineering, or related fields.
- Required Skills
- AWSETLHadoopKafkaAzureNosqlSparkData modelingDatabricks
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 7+ years of experience in data architecture, data engineering, or related fields.
- 4+ years of experience with Databricks
- Strong understanding of data management principles, including data modeling, ETL processes, data integration, and data warehousing.
- Experience with relational and NoSQL databases, data lakes, and big data technologies (e.g., Hadoop, Spark, Kafka).
- Proficiency in data modeling tools and techniques, and familiarity with data governance and data quality frameworks.
- Experience with cloud platforms (AWS, GCP, Azure) and modern data architectures, including serverless and microservices.
- Strong problem-solving and analytical skills, with the ability to design and implement complex data systems.
- Excellent communication and leadership skills, with the ability to work effectively across teams and influence stakeholders.
Responsibilities
- Design and oversee the development of the overall data architecture, including databases, data warehouses, data lakes, and integration systems.
- Collaborate with stakeholders to understand business requirements and translate them into data architecture solutions that support current and future needs.
- Define and implement data management processes, including data modeling, metadata management, data quality, and data governance.
- Ensure data security and compliance with relevant regulations by designing and implementing appropriate access controls and data protection mechanisms.
- Optimize data architectures for performance, scalability, and cost-efficiency in both on-premise and cloud environments.
- Provide guidance and best practices to data engineers, analysts, and developers on data architecture and design.
- Stay up-to-date with the latest trends and technologies in data architecture, and apply them to enhance our data infrastructure.
- Create and maintain documentation for data architecture, including data flow diagrams, data models, and system integrations.
- Travel to client sites as needed (up to 20% travel required)
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