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Let's begin! Databricks Solution Engineer
Job Location:
Monthly Salary:
Posted:
29 September 2026 (Yesterday)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
Education
- Bachelors 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
Responsibilities
Design build and support scalable data analytics and artificial intelligence solutions on the Databricks Lakehouse Platform.
- 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
About the Team
Our Data and Analytics team is responsible for delivering trusted scalable and innovative data solutions that enable informed decision-making across Moodys. The team partners closely with business and technology stakeholders to build modern data products advance analytics capabilities and drive the adoption of artificial intelligence technologies. By joining this team you will contribute to high-impact initiatives focused on data modernization operational efficiency and responsible AI innovation across the organization.
Required Experience:
IC
About Company
Moody's CreditView is our flagship solution for global capital markets that incorporates credit ratings, research and data from Moody's Investors Service plus research, data and content from Moody's Analytics.
