Databricks Engineer

• Help design, build and continuously improve the clients online platform.
  


• Research, suggest and implement new technology solutions following best practices/standards.
  


• Take responsibility for the resiliency and availability of different products.
  


• Be a productive member of the team.
  

Requirements

• Define and implement enterprise-grade Lakehouse architectures using Databricks.
  


• Provide technical leadership and architectural guidance for large-scale data transformation initiatives.
  


• Design scalable, secure, and high-performance data platforms across cloud environments.
  


• Establish data governance, security, compliance, and data quality frameworks.
  


• Lead performance tuning, optimization, and cost-efficiency initiatives within Databricks environments.
  


• Architect and oversee data integration solutions involving structured, semi-structured, and streaming data sources.
  


• Collaborate with business stakeholders, data engineers, architects, and leadership teams to align technology solutions with business objectives.
  


• Drive best practices for data modeling, data engineering, DevOps, and platform operations.
  


• Evaluate emerging technologies and recommend enhancements to the enterprise data ecosystem.
  


• Extensive hands-on experience with Databricks architecture, implementation, and administration.
  


• Deep expertise in Lakehouse architecture, Delta Lake, Spark, and modern data engineering practices.
  


• Strong experience with cloud platforms such as Azure, AWS, or GCP.
  


• Proven experience designing and implementing enterprise-scale data platforms and analytics solutions.
  


• Expertise in data integration, ETL/ELT frameworks, data pipelines, and workflow orchestration.
  


• Strong understanding of data governance, security, compliance, and metadata management.
  


• Experience with performance optimization, scalability planning, and platform monitoring.
  


• Excellent stakeholder management, communication, and consulting skills.
  


• Ability to influence architectural decisions and provide thought leadership across technical and business teams.
  


• Databricks certifications and cloud platform certifications.
  


• Experience with Data Mesh, Data Fabric, and modern analytics architectures.
  


• Knowledge of AI/ML workloads, MLOps, and advanced analytics on Databricks.
  


• Experience working in large-scale enterprise transformation programs.
  

Benefits