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Description supplied by the original job listing.
We are looking for 10+ years of experienced Data Architect-Databricks to design, develop, and maintain scalable data architectures for large-scale data and analytics solutions. The candidate should have strong expertise in Big Data, Data Engineering, Cloud Computing, and Databricks, with the ability to translate business and data requirements into secure, high-performance, and scalable architecture solutions.
Required Skills
Strong experience in Data Architecture and Data Engineering.
Hands-on experience with Big Data technologies and large-scale data platforms.
Strong knowledge of the Databricks Platform, including Apache Spark-based data processing.
Experience designing scalable data lakes, data warehouses, and modern data platforms.
Strong understanding of ETL/ELT, data ingestion, data transformation, and data integration.
Experience with Cloud Computing and cloud-based data solutions, preferably Azure.
Strong understanding of data security, data governance, data quality, integrity, and compliance.
Experience with database technologies, data storage, and query optimization.
Ability to analyze and optimize data processing and retrieval performance.
Key Responsibilities
Develop and implement data strategies and architecture for large-scale data platforms and analytics solutions.
Design, build, and maintain scalable Big Data architectures supporting high-volume and complex data workloads.
Collaborate with business stakeholders, data engineers, analysts, application teams, and other cross-functional teams to understand data requirements and define appropriate solutions.
Design efficient data ingestion, processing, storage, transformation, and retrieval architectures.
Leverage Databricks and cloud-based data platforms to develop scalable and reliable data solutions.
Optimize data storage, processing, and retrieval mechanisms to improve performance, scalability, availability, and cost efficiency.
Define and implement appropriate data security, data quality, integrity, governance, and compliance practices.
Work arrangement
No
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