
Senior Data Engineer
1 week ago
Leading Databricks Squad Delivery is a key role in our organization where you will oversee project delivery, team leadership, architecture reviews, and client engagement.
You will be responsible for optimizing Databricks implementations across cloud platforms while leading cross-functional teams. The ideal candidate will have strong leadership skills and client-facing communication.
Key Responsibilities:
1. Lead and manage end-to-end delivery of Databricks-based solutions.
2. Serve as a subject matter expert (SME) for Databricks architecture, implementation, and optimization.
3. Collaborate with architects and engineers to design scalable data pipelines and analytics platforms.
4. Oversee Databricks workspace setup, performance tuning, and cost optimization.
5. Act as the primary point of contact for client stakeholders.
6. Drive innovation within the team by implementing best practices, tools, and technologies.
7. Ensure alignment between business goals and technical solutions.
Required Skills and Qualifications:- Bachelor's degree in Computer Science, Engineering, or equivalent (Master's or MBA preferred).
- Hands-on experience delivering data engineering/analytics projects using Databricks.
- Experience managing cloud-based data pipelines on AWS, Azure, or GCP.
Preferred Skills:
- Proficiency with Spark, Delta Lake, MLflow, and distributed computing.
- Expertise in data engineering concepts (ETL, data lakes, data warehousing).
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