Databricks Architect
Celebal Technologies
Certification:
Databricks Certification preferredJob Summary
We are seeking an experienced Databricks Architect to design and implement scalable, secure, and high-performance data lakehouse solutions. The ideal candidate should have strong expertise in Databricks, Medallion Architecture, Azure/AWS cloud platforms, SQL, PySpark, Python, and Databricks Auto Loader.Key Responsibilities
Design and implement enterprise-scale data architectures using Databricks.Develop scalable data pipelines using SQL, PySpark, and Python.Implement Medallion Architecture, including Bronze, Silver, and Gold layers.Build incremental and streaming data ingestion pipelines using Databricks Auto Loader.Integrate Databricks with Azure or AWS cloud services.Optimize Spark workloads, SQL queries, cluster configurations, and data processing performance.Implement Delta Lake solutions for reliable data storage and processing.Establish data governance, security, and access control best practices.Provide technical leadership and architectural guidance to data engineering teams.Support production deployments, troubleshooting, and performance optimization.Required Skills and Qualifications
Strong experience with Databricks architecture and Lakehouse solutions.Hands-on expertise in Medallion Architecture.Proficiency in SQL, PySpark, and Python.Practical experience with Databricks Auto Loader.Experience with Azure Databricks or AWS Databricks.Strong understanding of Apache Spark, Delta Lake, and ETL/ELT pipelines.Experience in data pipeline optimization and production-grade data engineering.Knowledge of data governance, security, and scalable architecture design.Strong communication, analytical, and problem-solving skills.Preferred Qualifications
Databricks certification preferred.Experience with Unity Catalog and data governance.Knowledge of Delta Live Tables (DLT) or Lakeflow Declarative Pipelines.Experience with CI/CD, Git, and infrastructure-as-code tools.Experience with cloud migration and enterprise data platform modernization.Previous experience leading technical teams or defining data architecture standards.Ideal Candidate
The ideal candidate will be a hands-on technical architect who can design end-to-end Databricks solutions, guide engineering teams, and deliver scalable data platforms using modern cloud and lakehouse technologies.
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Databricks Certification preferredJob Summary
We are seeking an experienced Databricks Architect to design and implement scalable, secure, and high-performance data lakehouse solutions. The ideal candidate should have strong expertise in Databricks, Medallion Architecture, Azure/AWS cloud platforms, SQL, PySpark, Python, and Databricks Auto Loader.Key Responsibilities
Design and implement enterprise-scale data architectures using Databricks.Develop scalable data pipelines using SQL, PySpark, and Python.Implement Medallion Architecture, including Bronze, Silver, and Gold layers.Build incremental and streaming data ingestion pipelines using Databricks Auto Loader.Integrate Databricks with Azure or AWS cloud services.Optimize Spark workloads, SQL queries, cluster configurations, and data processing performance.Implement Delta Lake solutions for reliable data storage and processing.Establish data governance, security, and access control best practices.Provide technical leadership and architectural guidance to data engineering teams.Support production deployments, troubleshooting, and performance optimization.Required Skills and Qualifications
Strong experience with Databricks architecture and Lakehouse solutions.Hands-on expertise in Medallion Architecture.Proficiency in SQL, PySpark, and Python.Practical experience with Databricks Auto Loader.Experience with Azure Databricks or AWS Databricks.Strong understanding of Apache Spark, Delta Lake, and ETL/ELT pipelines.Experience in data pipeline optimization and production-grade data engineering.Knowledge of data governance, security, and scalable architecture design.Strong communication, analytical, and problem-solving skills.Preferred Qualifications
Databricks certification preferred.Experience with Unity Catalog and data governance.Knowledge of Delta Live Tables (DLT) or Lakeflow Declarative Pipelines.Experience with CI/CD, Git, and infrastructure-as-code tools.Experience with cloud migration and enterprise data platform modernization.Previous experience leading technical teams or defining data architecture standards.Ideal Candidate
The ideal candidate will be a hands-on technical architect who can design end-to-end Databricks solutions, guide engineering teams, and deliver scalable data platforms using modern cloud and lakehouse technologies.
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Vacancy posted 51 minutes ago
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