Azure Databricks Solution Architect
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
Depends on Experience
Galaxy i Technologies, Inc.
Fitment
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Job Details
Skills
- Azure Data Bricks Architect
Summary
Job Title : Azure Databricks Solution Architect
Location : Tampa, FL
Location : Tampa, FL
JD :
Azure Data Bricks Solution Architect
Azure Data Bricks Architect
**Key Responsibilities**
Lead the architectural design and deployment of comprehensive data solutions on the Databricks platform.
Develop and enhance scalable data pipelines processing both structured and unstructured data using Apache Spark within Databricks.
Establish and maintain best practices for data engineering and system architecture.
Collaborate closely with data scientists, analysts, and business stakeholders to gather requirements and convert them into scalable, effective solutions.
Design and oversee the development of CI/CD pipelines and automation workflows for Databricks projects.
Ensure all solutions meet data governance, security, and compliance standards.
Provide technical guidance and mentorship to the data engineering team.
Assess and integrate new tools and technologies to improve platform performance and efficiency.
Work with cloud environments such as Azure, AWS, or Google Cloud Platform integrated with Databricks.
**Required Qualifications**
Minimum 8 years of hands-on experience with Databricks technologies, including Apache Spark, Delta Lake, MLflow, and DBSQL.
Extensive experience building large-scale ETL/ELT data pipelines.
Strong proficiency in data modeling, data warehousing concepts, and distributed computing frameworks.
Experience working with cloud platforms—preferably Azure, but AWS or Google Cloud Platform is also acceptable.
Demonstrated ability to implement and enforce data engineering best practices and architectural standards.
Skilled in Python, SQL, and Spark-based data processing.
Solid understanding of DevOps methodologies related to Databricks, including CI/CD and infrastructure as code.
**Preferred Qualifications**
Knowledge of BI tools such as Power BI or Synapse Analytics.
Certifications like Databricks Certified Data Engineer or Microsoft Certified: Azure Solutions Architect are advantageous.
Role Descriptions: Lead the architectural design and deployment of comprehensive data solutions on the Databricks platform.Develop and enhance scalable data pipelines processing both structured and unstructured data using Apache Spark within Databricks.Establish and maintain best practices for data engineering and system architecture.Collaborate closely with data scientists| analysts| and business stakeholders to gather requirements and convert them into scalable| effective solutions.Design and oversee the development of CI/CD pipelines and automation workflows for Databricks projects.Ensure all solutions meet data governance| security| and compliance standards.Provide technical guidance and mentorship to the data engineering team.Assess and integrate new tools and technologies to improve platform performance and efficiency.Work with cloud environments such as Azure| AWS| or Google Cloud Platform integrated with Databricks.Required Skills & Experience:Minimum 8 years of hands-on experience with Databricks technologies| including Apache Spark| Delta Lake| MLflow| and DBSQL.Extensive experience building large-scale ETL/ELT data pipelines.Strong proficiency in data modeling| data warehousing concepts| and distributed computing frameworks.Experience working with cloud platformspreferably Azure| but AWS or Google Cloud Platform is also acceptable.Demonstrated ability to implement and enforce data engineering best practices and architectural standards.Skilled in Python| SQL| and Spark-based data processing.Solid understanding of DevOps methodologies related to Databricks| including CI/CD and infrastructure as code.Preferred Qualifications:Knowledge of BI tools such as Power BI or Synapse Analytics.Certifications like Databricks Certified Data Engineer or Microsoft Certified: Azure Solutions Architect are advantageous.
Essential Skills: Lead the architectural design and deployment of comprehensive data solutions on the Databricks platform.Develop and enhance scalable data pipelines processing both structured and unstructured data using Apache Spark within Databricks.Establish and maintain best practices for data engineering and system architecture.Collaborate closely with data scientists| analysts| and business stakeholders to gather requirements and convert them into scalable| effective solutions.Design and oversee the development of CI/CD pipelines and automation workflows for Databricks projects.Ensure all solutions meet data governance| security| and compliance standards.Provide technical guidance and mentorship to the data engineering team.Assess and integrate new tools and technologies to improve platform performance and efficiency.Work with cloud environments such as Azure| AWS| or Google Cloud Platform integrated with Databricks.Required Skills & Experience:Minimum 8 years of hands-on experience with Databricks technologies| including Apache Spark| Delta Lake| MLflow| and DBSQL.Extensive experience building large-scale ETL/ELT data pipelines.Strong proficiency in data modeling| data warehousing concepts| and distributed computing frameworks.Experience working with cloud platformspreferably Azure| but AWS or Google Cloud Platform is also acceptable.Demonstrated ability to implement and enforce data engineering best practices and architectural standards.Skilled in Python| SQL| and Spark-based data processing.Solid understanding of DevOps methodologies related to Databricks| including CI/CD and infrastructure as code.Preferred Qualifications:Knowledge of BI tools such as Power BI or Synapse Analytics.Certifications like Databricks Certified Data Engineer or Microsoft Certified: Azure Solutions Architect are advantageous.
Desirable Skills:
Keyword:
Skills: Digital : Databricks
Experience Required: 8-10
Azure Data Bricks Architect
**Key Responsibilities**
Lead the architectural design and deployment of comprehensive data solutions on the Databricks platform.
Develop and enhance scalable data pipelines processing both structured and unstructured data using Apache Spark within Databricks.
Establish and maintain best practices for data engineering and system architecture.
Collaborate closely with data scientists, analysts, and business stakeholders to gather requirements and convert them into scalable, effective solutions.
Design and oversee the development of CI/CD pipelines and automation workflows for Databricks projects.
Ensure all solutions meet data governance, security, and compliance standards.
Provide technical guidance and mentorship to the data engineering team.
Assess and integrate new tools and technologies to improve platform performance and efficiency.
Work with cloud environments such as Azure, AWS, or Google Cloud Platform integrated with Databricks.
**Required Qualifications**
Minimum 8 years of hands-on experience with Databricks technologies, including Apache Spark, Delta Lake, MLflow, and DBSQL.
Extensive experience building large-scale ETL/ELT data pipelines.
Strong proficiency in data modeling, data warehousing concepts, and distributed computing frameworks.
Experience working with cloud platforms—preferably Azure, but AWS or Google Cloud Platform is also acceptable.
Demonstrated ability to implement and enforce data engineering best practices and architectural standards.
Skilled in Python, SQL, and Spark-based data processing.
Solid understanding of DevOps methodologies related to Databricks, including CI/CD and infrastructure as code.
**Preferred Qualifications**
Knowledge of BI tools such as Power BI or Synapse Analytics.
Certifications like Databricks Certified Data Engineer or Microsoft Certified: Azure Solutions Architect are advantageous.
Role Descriptions: Lead the architectural design and deployment of comprehensive data solutions on the Databricks platform.Develop and enhance scalable data pipelines processing both structured and unstructured data using Apache Spark within Databricks.Establish and maintain best practices for data engineering and system architecture.Collaborate closely with data scientists| analysts| and business stakeholders to gather requirements and convert them into scalable| effective solutions.Design and oversee the development of CI/CD pipelines and automation workflows for Databricks projects.Ensure all solutions meet data governance| security| and compliance standards.Provide technical guidance and mentorship to the data engineering team.Assess and integrate new tools and technologies to improve platform performance and efficiency.Work with cloud environments such as Azure| AWS| or Google Cloud Platform integrated with Databricks.Required Skills & Experience:Minimum 8 years of hands-on experience with Databricks technologies| including Apache Spark| Delta Lake| MLflow| and DBSQL.Extensive experience building large-scale ETL/ELT data pipelines.Strong proficiency in data modeling| data warehousing concepts| and distributed computing frameworks.Experience working with cloud platformspreferably Azure| but AWS or Google Cloud Platform is also acceptable.Demonstrated ability to implement and enforce data engineering best practices and architectural standards.Skilled in Python| SQL| and Spark-based data processing.Solid understanding of DevOps methodologies related to Databricks| including CI/CD and infrastructure as code.Preferred Qualifications:Knowledge of BI tools such as Power BI or Synapse Analytics.Certifications like Databricks Certified Data Engineer or Microsoft Certified: Azure Solutions Architect are advantageous.
Essential Skills: Lead the architectural design and deployment of comprehensive data solutions on the Databricks platform.Develop and enhance scalable data pipelines processing both structured and unstructured data using Apache Spark within Databricks.Establish and maintain best practices for data engineering and system architecture.Collaborate closely with data scientists| analysts| and business stakeholders to gather requirements and convert them into scalable| effective solutions.Design and oversee the development of CI/CD pipelines and automation workflows for Databricks projects.Ensure all solutions meet data governance| security| and compliance standards.Provide technical guidance and mentorship to the data engineering team.Assess and integrate new tools and technologies to improve platform performance and efficiency.Work with cloud environments such as Azure| AWS| or Google Cloud Platform integrated with Databricks.Required Skills & Experience:Minimum 8 years of hands-on experience with Databricks technologies| including Apache Spark| Delta Lake| MLflow| and DBSQL.Extensive experience building large-scale ETL/ELT data pipelines.Strong proficiency in data modeling| data warehousing concepts| and distributed computing frameworks.Experience working with cloud platformspreferably Azure| but AWS or Google Cloud Platform is also acceptable.Demonstrated ability to implement and enforce data engineering best practices and architectural standards.Skilled in Python| SQL| and Spark-based data processing.Solid understanding of DevOps methodologies related to Databricks| including CI/CD and infrastructure as code.Preferred Qualifications:Knowledge of BI tools such as Power BI or Synapse Analytics.Certifications like Databricks Certified Data Engineer or Microsoft Certified: Azure Solutions Architect are advantageous.
Desirable Skills:
Keyword:
Skills: Digital : Databricks
Experience Required: 8-10
Note : If you are interested please share me your resumes to vmahesh at galaxyitech dot com or else reach me at four eight zero four zero seven six nine one five
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10374872
- Position Id: 35134-43206-
- Posted 1 day ago
Company Info
About Galaxy i Technologies, Inc.
Galaxy i Technologies, Inc is a global consulting and IT services company that is known for its commitment to client satisfaction. Galaxy i Technologies is an information technology firm offering IT Consulting, Staff Augmentation, Software Development & Training and E-commerce Development. We help our Clients to implement these solutions through a variety of skilled consulting services like Application management, Implementation and Infrastructure management.
Galaxy i Technologies has a pool of highly skilled professionals who work through the life cycle of challenging and exciting projects, including System Analysis, Designing, Development, Implementation, Maintenance, Enhancements and Test Support to our Fortune 500 Corporations.
Careers
Galaxy i Technologies has a pool of highly skilled professionals who work through the life cycle of challenging and exciting projects, including System Analysis, Designing, Development, Implementation, Maintenance, Enhancements and Test Support to our Fortune 500 Corporations.
Careers
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