📋 Description

• Design and implement enterprise-grade data and lakehouse architectures using Databricks across
• Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
• Provide hands-on technical leadership throughout architecture, implementation, deployment, and
• Establish effective data governance and security practices using capabilities such as Unity Catalog.
• Partner directly with enterprise clients to understand business and technical requirements and
• Advise stakeholders on cloud, data, analytics, and AI transformation strategies while ensuring

🎯 Requirements

• 3–8 years of relevant professional experience in data engineering, cloud architecture, analytics
• Strong hands-on expertise with Databricks, Azure, and GCP, with demonstrated ability to design and
• Databricks Champion status or equivalent demonstrated Databricks expertise is mandatory.
• Experience with enterprise data architecture, lakehouse architecture, and large-scale
• Strong knowledge of Apache Spark, PySpark, SQL, Unity Catalog, data governance, and modern data
• Strong client-facing and communication skills, with the ability to explain complex technical

🎁 Benefits

• Fully remote position: Work remotely while contributing to enterprise data, cloud, and AI
• High-impact consulting environment: Gain exposure to complex technology initiatives and
• Modern technology stack: Work extensively with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity
• Architecture ownership: Take a leading role in designing scalable lakehouse and data platform
• Client-facing exposure: Partner directly with enterprise stakeholders and influence strategic
• Professional growth: Expand your expertise across modern data, cloud, analytics, and AI