Databricks Lead/Architect
Why This Role Stands Out
This hybrid Databricks Lead/Architect role offers a fantastic opportunity to shape enterprise data platforms and mentor a growing team within a reputable company. You’ll thrive here if you possess strong data architecture and governance skills, enjoy collaborative problem-solving, and are eager to advance your expertise in cutting-edge data technologies. Apply now to lead impactful data solutions and unlock your career potential.
Quick Overview
Job Description
Databricks Lead/Architect
Introduction:
As a Databricks Lead/Architect, you will be responsible for designing, implementing, and governing enterprise Data Platform. You will play a crucial role in leading the team towards successful data management and analysis.
Responsibilities:
- Design and develop data architecture solutions using Databricks platform.
- Lead the implementation of Databricks platform for data processing and analytics.
- Govern the data platform to ensure data quality, security, and compliance.
- Collaborate with cross-functional teams to understand business requirements and provide technical solutions.
- Optimize and tune Databricks applications for performance and scalability.
- Provide technical guidance and mentorship to junior team members.
- Stay updated with the latest technologies and trends in data management and analysis.
Requirements:
Required Skills:
- Proven experience as a Databricks Lead/Architect in designing and implementing enterprise Data Platform.
- Strong knowledge of Databricks platform and its capabilities.
- Hands-on experience in data architecture design and development.
- Excellent understanding of data governance principles.
- Ability to work effectively in a team environment and collaborate with stakeholders.
Preferred Skills:
- Certification in Databricks or related technologies.
- Experience in cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of big data technologies like Hadoop, Spark, and Kafka.
- Experience in building machine learning models and data pipelines.
Skills
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