IT & Software

Databricks Solution Engineer

Moodys

London · Greater London · United Kingdom

Overview

As a Data Engineer on Moody's Data & Analytics team, you design and implement scalable data, analytics, and AI solutions on the Databricks Lakehouse Platform. You work with cross-functional partners to translate requirements into cost-effective, scalable data products. You will optimize data pipelines and governance to support reporting, analytics, and AI initiatives, while advancing data modernization and responsible AI practices. This role offers impact across data-driven decision making and enterprise platforms.

Responsibilities
  • Design, build, and support scalable data, analytics, and AI solutions on the Databricks Lakehouse Platform
  • Design and implement scalable data and analytics solutions leveraging Databricks technologies
  • Build, maintain, and optimize data pipelines using Spark, SQL, Python, and Delta Lake
  • Develop governed datasets and data products to support reporting, analytics, and AI initiatives
  • Collaborate with business stakeholders to translate requirements into scalable solutions
  • Implement best practices for performance, security, data quality, compliance, and governance
  • Support integration of enterprise platforms (Salesforce, Power BI, Snowflake, Microsoft Fabric)
  • Contribute to platform standards through automation, CI/CD, and DevOps
  • Monitor and enhance solution performance for reliability and scalability
Key requirements
  • 6+ years of experience in Data Engineering, Analytics Engineering, or related fields in enterprise environments
  • 4+ years designing and implementing solutions on the Databricks Lakehouse Platform
  • Strong expertise in Apache Spark, SQL, Python, Delta Lake
  • Experience building and optimizing ETL/ELT pipelines for analytics and AI use cases
  • Knowledge of data modeling, governance, data quality, and enterprise data architecture
  • Experience integrating Salesforce, Power BI, Snowflake, and Microsoft Fabric
  • Working knowledge of Git, CI/CD, DevOps, and automation frameworks
  • Hands-on experience with AI tools and delivering AI-powered solutions; awareness of AI risk management
  • Excellent communication and stakeholder management
  • Collaboration and cross-functional teamwork
  • Ability to translate business requirements into technical solutions
  • Databricks Lakehouse Platform
  • Apache Spark
  • SQL

Reference: WJ-747_30161775

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