Databricks Lead Data Engineer6yrs

• Work with customers to understand their business challenges data needs and accordingly propose data solutions built on Databricks to address them.
• 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
• Create and deliver presentations and other materials to educate customers about Databricks.
• 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.

• Minimum 6 years of experience (6 years a plus) in Data engineering and 2 years of handson experience on Databricks.
• Proficiency in Data modeling and design. Track record in implementing petabyte scale data platforms in Cloud platforms such as AWS/Azure/GCP.
• Handson 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 Skills.
• Strong Problemsolving and conflict resolution ability.
• Strong communication interpersonal and mentoring skills.
• Ability to handle ambiguity and fastpaced environment with ability to lead multiple projects/POCs POCs simultaneously.
• Prior experience in managing Director level stakeholders a plus.
• Ability to understand the technology stack dependencies between applications and how the data flows between them.
• Highly adaptable to change and an excellent team player with the ability to influence and negotiate.

databricks,gcp,data modeling,data engineering,certifications,tableau,interpersonal,stakeholder management,terraform,technology stack understanding,airflow,problem-solving,communication,mentoring,cloud platforms,aws,dbt,project management,sql,azure