
Cloud Data Architect
8 hours ago
We are seeking a senior data architect to join our organization.
Job Description:
We are looking for a seasoned data architect to design and optimize cloud-native data architectures on platforms like Databricks and Snowflake. As a senior data architect, you will be responsible for developing data pipelines, ETL/ELT processes, and data integration strategies. You will also collaborate with business and technical teams to define data architecture standards, governance, and security models.
Key Responsibilities:
- Design and implement Lakehouse architectures using Databricks, Delta Lake, and Apache Spark.
- Develop and lead the implementation of data pipelines, ETL/ELT processes, and data integration strategies.
- Collaborate with cross-functional teams to define data architecture standards, governance, and security models.
- Optimize performance and cost-efficiency of Databricks clusters and jobs.
- Provide technical leadership and mentorship to data engineers and developers.
- Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and enterprise systems.
- Evaluate and recommend tools and technologies to enhance the data ecosystem.
Required Skills and Qualifications:
- Expertise in data engineering, data architecture, or analytics.
- Hands-on experience with Databricks and Apache Spark.
- Strong proficiency in Python, SQL, and PySpark.
- Deep understanding of Delta Lake, Lakehouse architecture, and data mesh principles.
- Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
Benefits:
This role offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
About Us:
We are a leading organization in the field of data architecture, committed to delivering innovative solutions that drive business success. We value diversity, inclusion, and collaboration, and we offer a dynamic work environment that fosters creativity and innovation.
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