Locations : : 14+ years.
Role Overview :
As the Databricks Squad Delivery Lead, you will oversee project delivery, team leadership, architecture reviews, and client engagement.
Youll be responsible for optimizing Databricks implementations across cloud platforms (AWS / Azure / GCP), while leading cross-functional teams.
Key Responsibilities :
- Lead and manage end-to-end delivery of Databricks-based solutions.
- Serve as a subject matter expert (SME) for Databricks architecture, implementation, and optimization.
- Collaborate with architects and engineers to design scalable data pipelines and analytics platforms.
- Oversee Databricks workspace setup, performance tuning, and cost optimization.
- Act as the primary point of contact for client stakeholders.
- Drive innovation within the team by implementing best practices, tools, and technologies.
- Ensure alignment between business goals and technical solutions.
What We're Looking For :
Must-Have :
Bachelors degree in Computer Science, Engineering, or equivalent (Masters or MBA preferred).Hands-on experience delivering data engineering / analytics projects using Databricks.Experience managing cloud-based data pipelines on AWS, Azure, or GCP.Strong leadership skills and client-facing communication.Preferred Skills :
Proficiency with Spark, Delta Lake, MLflow, and distributed computing.Expertise in data engineering concepts (ETL, data lakes, data warehousing).Certifications in Databricks or cloud platforms (AWS / Azure / GCP) are a plus.Agile / Scrum or PMP certification is an added advantage.(ref : hirist.tech)