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Databricks Solution Engineer
Technology / Software Development
Skills and Competencies- 6+ years of experience in Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments
- 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform
- Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices
- Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence use cases
- Proven knowledge of data modeling, data governance, data quality management, and enterprise data architecture principles
- Experience integrating cloud and software-as-a-service platforms such as Salesforce, Microsoft Power BI, Snowflake, and Microsoft Fabric
- Working knowledge of Git, continuous integration and continuous delivery pipelines, DevOps practices, and automation frameworks
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
- Excellent communication, collaboration, and stakeholder management skills with the ability to translate business requirements into technical solutions
- Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field
- Databricks Data Engineer Associate certification or higher preferred
- Databricks Generative AI Engineer Associate certification preferred
- Design and implement scalable data and analytics solutions leveraging Databricks technologies
- Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake
- Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives
- Partner with business stakeholders and technical teams to translate requirements into cost-effective and scalable solutions
- Implement best practices for performance optimization, security, data quality, compliance, and governance
- Support integration of enterprise platforms including Salesforce, Microsoft Power BI, Snowflake, Microsoft Fabric, and other business applications
- Contribute to platform standards through automation, continuous integration and continuous delivery practices, and DevOps initiatives
- Monitor, troubleshoot, and enhance solution performance to ensure reliability, scalability, and operational excellence