Solutions Architect - Databricks

Job Summary

JOB DESCRIPTION

We are seeking a highly skilled Solutions Architect with expertise in Databricks to join our team. In this role, you will be responsible for designing and implementing scalable, data-driven solutions leveraging the Databricks Lakehouse Platform. You will work closely with stakeholders across engineering, analytics, and business teams to drive innovation and optimize data workflows.

Responsibilities

• Solution Design: Architect scalable and efficient solutions using the Databricks platform for data engineering, machine learning, and analytics workflows.
• Platform Implementation: Lead the deployment and integration of Databricks with existing data ecosystems, ensuring seamless data processing and storage.
• Stakeholder Collaboration: Partner with data engineers, analysts, and business teams to understand requirements and deliver impactful solutions.
• Technical Expertise: Provide hands-on technical guidance in Spark, Python, SQL, and other Databricks-supported technologies.
• Performance Optimization: Optimize Databricks jobs, clusters, and data pipelines to ensure performance and cost efficiency.
• Governance & Security: Implement best practices for data governance, security, and compliance within the Databricks ecosystem.
• Training & Enablement: Educate internal teams on leveraging Databricks features effectively.
  
  

Education

MINIMUM AND/OR PREFERRED QUALIFICATIONS:

• Bachelor's degree in Computer Science, Information Technology/Systems, Software Engineering or a related field.
  
  

Experience

• 5+ years of experience in data engineering, architecture, or analytics roles.
• Expertise with the Databricks platform, including cluster management, Delta Lake, and MLFlow.
• Proficiency in Spark, Python, SQL, and ETL frameworks.
• Experience with cloud platforms (e.g., AWS, Azure, or GCP) and their integration with Databricks.
• Strong understanding of data warehousing concepts, big data processing, and real-time analytics.
• Excellent communication and interpersonal skills, with the ability to work across technical and non-technical stakeholders.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Familiarity with machine learning frameworks and libraries.
• Knowledge of DevOps practices and CI/CD pipelines for data platforms.
  
  

Certificates, Licenses, Registrations

• Databricks Data Engineer Associate Certification or Databricks Data Engineer Professional Certification strong preferred.
  
  

About Us

Argano is the first of its kind: a digital consultancy totally immersed in high-performance operations. We steward enterprises through ever-evolving markets, empowering them with transformative strategies and technologies to exceed customer expectations, unlock commercial innovation, and drive optimal efficiency and growth.

Argano is an equal-opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.