What makes you a great fit:

• Implement data lakehouse solutions on the Databricks platform, including data pipelines, data warehousing, and machine learning workflows.
• Work with customers to deploy and manage their Databricks environments using upstream and downstream technologies like Airflow, Terraform, Tableau etc.
• Provide technical support and guidance to customers during ongoing implementation.
• Lead and participate in daily standup meetings to continuously assess data needs and deliver those.
• Hire, develop and mentor data engineers and analysts in the team
• Undergraduate Degree in any quantitative discipline such as engineering, science or economics from
• a Top-Tier institution.
• Minimum 3 years of experience in Data engineering. 1+ years of hands-on experience on Databricks is preferred.
• Proficiency in Data modeling and design. Track record in implementing petabyte scale data platforms in Cloud platforms such as AWS/Azure/GCP.
• Hands-on experience with Modern Data stack tools like Airflow, Terraform, dbt etc.
• Proficiency in SQL and Data visualization tool like Tableau.
•  Professional level Certifications in Databricks and/or AWS/Azure is a plus