Lead Analytics Engineer (Databricks)

Lead Analytics Engineer is required by a global software company to join their AI and Data Team and to shape the analytics layer, turning raw data into actionable intelligence that drives executive decision-making.

You will be responsible for:

• Developing and maintaining robust data pipelines and data models in Databricks.
• Building and enhancing structured data models that turn raw data into reliable, easy-to-understand information for the business.
• Transforming fabric workflows into scalable and reliable analytics solutions.
• Acting as the strategic technical partner for data-driven decision-making, ensuring a single source of truth.
• Troubleshooting, analyzing, and optimizing ETL processes while proactively identifying and resolving potential issues.
• Documenting workflows, models, and pipelines for team and stakeholder reference.

Required experience and skills:

• Strong experience in Databricks, including Spark, Delta Live Tables, Unity Catalog, and Medallion Architecture.
• SQL and Python skills, with experience using Pandas in Databricks notebooks.
• Good understanding of data warehouse design: Star Schema, SCD/CDC concepts.
• Experience building data pipelines, data warehouses, and lakehouses for BI, reporting, and analytics.
• Familiarity with CI/CD pipelines, Azure DevOps, and AI development tools.
• Azure or Databricks certifications will be beneficial.
• Excellent analytical, conceptual, and communication skills.