Azure DataBricks Solution Architect

Request ID: 71864-1Title: Azure DataBricks Solution ArchitectLocations: Tampa , FL (Onsite)Duration: 6 MonthsSalary Range: $59 - $63/Hour on W2 (All inclusive)IntroductionWe are looking for an experienced Databricks Architect with extensive knowledge in data engineering, cloud platforms, and advanced analytics. This role is pivotal in designing, implementing, and optimizing scalable data solutions on the Databricks platform. As a key technical leader, you will work closely with engineering, data science, and business teams to create secure, high-performance, and cost-efficient data pipelines and AI-driven systems.Required Skills & QualificationsOver 8 years of experience in data engineering or architectural roles.More than 5 years of experience in architecting solutions with Databricks.Expertise in Apache Spark, Delta Lake, MLflow, and Lakehouse architecture.Proficiency in SQL, Python, and/or Scala.Practical experience with cloud platforms such as AWS, Azure, or GCP.Strong understanding of distributed computing, performance tuning, and data security.Experience with CI/CD pipelines, DevOps tools, and orchestration tools like Airflow or Data Factory.Prior work experience at client or in client's IndustryApplicants must be able to work directly for Artech on W2Preferred Skills & Qualifications Databricks Certified Data Engineer or Solutions Architect.Knowledge of MLOps and deploying machine learning models into production.Experience with data mesh, data fabric, or similar enterprise data architectures.Day-to-Day Responsibilities Design and implement scalable data platforms and pipelines using Databricks (including Spark, Delta Lake, MLflow, etc.).Work with stakeholders to develop modern data architectures that meet business requirements.Lead the migration from legacy platforms to the Databricks Lakehouse architecture.Establish data governance, quality, and security standards in collaboration with InfoSec and Compliance teams.Optimize data ingestion, transformation, and consumption processes.Mentor data engineers and developers on best practices for using Databricks.Integrate Databricks with enterprise tools such as Power BI, Tableau, Kafka, Snowflake, and others.Develop and implement machine learning/AI workflows within a Databricks environment.Collaborate with cloud architects to ensure a robust infrastructure setup on AWS, Azure, or GCP.Produce technical documentation, architectural diagrams, and data models.Company Benefits & Culture Competitive salary and benefits package.Opportunities for professional growth and development.Collaborative and inclusive work environment.