We are seeking an experienced Data Architect with a strong background in Databricks to join our team and be part of innovative projects.
The ideal candidate will have a deep understanding of data architecture principles, excellent analytical skills, and hands-on experience with designing and implementing data solutions using Databricks.
Responsibilities:
- Design and implement scalable, reliable, and efficient data architecture solutions using Databricks or other platforms.
- Collaborate with cross-functional teams to gather requirements, define data architecture strategies, and drive data initiatives.
- Develop and maintain data models, schemas, and data pipelines to support business needs.
- Optimize data storage, processing, and retrieval for performance and cost-effectiveness.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Provide technical guidance and support to data engineers, analysts, and other stakeholders.
- Stay current with industry trends, best practices, and emerging technologies in data architecture and Databricks.
Qualifications:
- Bachelors or Masters degree in Computer Science, Information Systems, or a related field.
- 5 years of experience as a Data Architect or a similar role.
- Experience in IT project management is preferred.
- Proven experience with Databricks, including Databricks Runtime, Delta Lake, and Apache Spark.
- Strong understanding of data modeling concepts, data warehousing principles, and ETL/ELT processes.
- Proficiency in SQL, Python, or Scala for data manipulation and analysis.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Certifications in Databricks or related technologies (preferred).
- Experience in Agile methodologies and practices.
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