Sr.Databricks Platform Engineer [Platform Admin]

We are looking for a highly skilled Sr. Databricks Platform Engineer [Platform Admin] to lead the design and implementation of scalable, enterprise-grade data platforms using Databricks. The ideal candidate will combine strong technical expertise in data engineering and cloud platforms (AWS/Azure/Google Cloud Platform) with architectural leadership, solution design capability, and strong stakeholder engagement skills., * Opportunity to lead high-impact data initiatives using cutting-edge Databricks capabilities.

• Work with a highly skilled team of engineers, architects, and analytics professionals.
• Professional growth opportunities including certifications and advanced architecture training.
• Collaborative environment that values innovation and continuous improvement.

Technical Skills

• Databricks Expertise: Strong hands-on experience with Databricks (clusters, notebooks, Delta Lake, ML flow, Unity Catalog).
• Cloud Platforms: Experience with at least one cloud provider (AWS, Azure, Google Cloud Platform).
• Data Engineering: Strong proficiency in Spark, Python, SQL, and distributed data processing.
• Architecture: Experience designing large-scale data solutions including ingestion, transformation, storage, and analytics.
• Streaming: Experience with streaming technologies (Structured Streaming, Kafka, Kinesis, EventHub).
• DevOps: CI/CD practices for data pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.).

Soft Skills

• Strong communication skills with the ability to engage both technical and business teams.
• Experience working in Agile environments.
• Ability to simplify complex technical concepts for non-technical audiences.
• Strong analytical, problem-solving, and decision-making abilities.

Preferred Qualifications

• Databricks Certified Data Engineer Professional / Architect certification.
• AWS/Azure/Google Cloud Platform cloud architect certifications.
• Experience with BI tools (Tableau, Power BI, Looker).
• Experience in machine learning workflows and ML operations.
• Background in large-scale data modernization or cloud migration projects.