Sr. Databricks Developer/Architect with Azure - C2C Louisville, KY

Sr.Databricks Developer/Architect with Azure Location: Louisville, KY (Onsite) – Need locals ONLY Duration: 6+ months contract Job Description We are seeking a highly skilled Databricks Developer/Architect with deep hands‑on coding experience. The ideal candidate will design, implement, and optimize big data solutions on the Databricks platform, leveraging advanced data processing frameworks, cloud architectures, and automation strategies. Required Skills Extensive hands‑on experience with Databricks and Apache Spark (PySpark, Scala, or SQL). Proficiency in at least one programming language (Python, Scala, or Java). Strong understanding of cloud data architectures (Azure Data Lake, AWS S3, GCP Storage) and related ecosystem. Experience with CI/CD tools and DevOps practices for data engineering. Familiarity with data warehousing concepts and tools (Delta Lake, SQL, etc.). Solid grasp of distributed computing, performance tuning, and big data best practices. Excellent communication and problem‑solving skills. Desirable Skills Iceberg table Implementation Databricks Automation Bundles and DQX framework. Exposure and understanding of GenAI and its opportunities in data engineering. Roles & Responsibilities Architect and develop scalable data pipelines using Databricks, Apache Spark, and related technologies. Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver robust solutions. Optimize ETL workflows for performance, reliability, and cost efficiency on cloud platforms (Azure, AWS, or GCP). Implement data governance, security, and compliance best practices within the Databricks environment. Mentor junior engineers and contribute to code reviews, architectural decisions, and platform enhancements. Develop and maintain documentation for data pipelines, architecture, and operational procedures. Troubleshoot and resolve complex technical issues related to data ingestion, transformation, and storage. Role Descriptions Azure Architect- with Databricks Automation Bundles and DQX framework | understanding of GEN AI and ICEBERG table implementation Education At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required. #J-18808-Ljbffr Tech Mirrors