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Skills
Amazon Web Services (AWS)unmatched
Apache Sparkunmatched
Architectural Servicesunmatched
Automationunmatched
Best Practicesunmatched
Business Intelligence Softwareunmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Data Scienceunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
Distributed Computingunmatched
GCP (Good Clinical Practices)unmatched
Information/Data Security (InfoSec)unmatched
Mentoringunmatched
Microsoft Windows Azureunmatched
Performance Managementunmatched
Power BIunmatched
Python Programming/Scripting Languageunmatched
Regulatory Complianceunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Structured Dataunmatched
System Architectureunmatched
Technical Leadershipunmatched
Unstructured Dataunmatched
Description
Role: Azure Data Bricks Solution Architect
Location: Tampa, FL- Remote also workable
Duration: 6-12 months
Experience: 12-15 Year
Rate: $50-53/hr(W2)
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 GCP 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 GCP 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 .
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.