Azure Data Architect
Q1 Technologies
Location: Tampa, FL or REMOTE
Duration: 6 + months
Azure Databricks Architect
We are seeking a skilled Databricks Architect to lead the design, implementation, and optimization of our data analytics platform using Databricks. The ideal candidate will have deep expertise in data engineering, cloud infrastructure, and big data technologies, with a strong focus on delivering scalable, secure, and high-performance data solutions.
Key Responsibilities:
Design and implement scalable and efficient data pipelines and infrastructure on Databricks.
Architect end-to-end data solutions integrating Databricks with cloud platforms (AWS, Azure, GCP).
Collaborate with data scientists, data engineers, and business stakeholders to understand data requirements and translate them into technical solutions.
Optimize and tune Databricks clusters to improve performance and reduce costs.
Ensure data security, governance, and compliance within the Databricks environment.
Develop best practices, standards, and documentation for Databricks architecture and usage.
Troubleshoot and resolve technical issues related to Databricks platform and integrations.
Qualifications:
Proven experience architecting large-scale data solutions using Databricks.
Strong knowledge of Apache Spark and its ecosystem.
Proficiency in programming languages such as Python, Scala, or SQL.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with data warehousing, ETL processes, and data modeling.
Strong understanding of data security, compliance, and governance practices.
Role Descriptions: We are seeking a skilled Databricks Architect to lead the design| implementation| and optimization of our data analytics platform using Databricks. The ideal candidate will have deep expertise in data engineering| cloud infrastructure| and big data technologies| with a strong focus on delivering scalable| secure| and high-performance data solutions.Key ResponsibilitiesDesign and implement scalable and efficient data pipelines and infrastructure on Databricks.Architect end-to-end data solutions integrating Databricks with cloud platforms (AWS| Azure| GCP).Collaborate with data scientists| data engineers| and business stakeholders to understand data requirements and translate them into technical solutions.Optimize and tune Databricks clusters to improve performance and reduce costs.Ensure data security| governance| and compliance within the Databricks environment.Develop best practices| standards| and documentation for Databricks architecture and usage.Troubleshoot and resolve technical issues related to Databricks platform and integrations.QualificationsProven experience architecting large-scale data solutions using Databricks.Strong knowledge of Apache Spark and its ecosystem.Proficiency in programming languages such as Python| Scala| or SQL.Experience with cloud platforms such as AWS| Azure| or Google Cloud Platform.Familiarity with data warehousing| ETL processes| and data modeling.Strong understanding of data security| compliance| and governance practices.
Essential Skills: We are seeking a skilled Databricks Architect to lead the design| implementation| and optimization of our data analytics platform using Databricks. The ideal candidate will have deep expertise in data engineering| cloud infrastructure| and big data technologies| with a strong focus on delivering scalable| secure| and high-performance data solutions.Key ResponsibilitiesDesign and implement scalable and efficient data pipelines and infrastructure on Databricks.Architect end-to-end data solutions integrating Databricks with cloud platforms (AWS| Azure| GCP).Collaborate with data scientists| data engineers| and business stakeholders to understand data requirements and translate them into technical solutions.Optimize and tune Databricks clusters to improve performance and reduce costs.Ensure data security| governance| and compliance within the Databricks environment.Develop best practices| standards| and documentation for Databricks architecture and usage.Troubleshoot and resolve technical issues related to Databricks platform and integrations.QualificationsProven experience architecting large-scale data solutions using Databricks.Strong knowledge of Apache Spark and its ecosystem.Proficiency in programming languages such as Python| Scala| or SQL.Experience with cloud platforms such as AWS| Azure| or Google Cloud Platform.Familiarity with data warehousing| ETL processes| and data modeling.Strong understanding of data security| compliance| and governance practices.
Desirable Skills:
Keyword:
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