
Senior Databricks Data Architect
2 weeks ago
Job Overview:
We are seeking a highly skilled Data Architect to design and implement scalable, high-performance data solutions using Databricks.
The ideal candidate will have hands-on experience in Databricks production environments and a deep understanding of modern data architecture.
As a key member of our team, you will work closely with cross-functional teams to create robust data pipelines and ensure the reliability, quality, and observability of data across platforms.
Key Responsibilities:
- Data Pipeline Development: Design, develop, and maintain data pipelines and ETL processes on Databricks.
- Architecture and Implementation: Lead the architecture and implementation of scalable, secure, and high-performance data solutions.
- Collaboration: Collaborate with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions.
- Optimization: Optimize data workflows for performance, cost-efficiency, and reliability.
- Data Integration: Integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
- Data Governance: Implement best practices in data governance, security, and quality management.
- Troubleshooting: Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity.
Required Skills & Experience:
- 6-7 years of experience in Data Engineering.
- Proven Subject Matter Expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
- Strong experience with PySpark, Spark SQL, and Scala.
- Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus).
- Proficiency in data modeling, ETL development, and data warehousing concepts.
- Solid understanding of big data ecosystems (Hadoop, Kafka, etc.).
- Strong SQL development skills with a focus on performance tuning.
- Experience in implementing CI/CD pipelines for data solutions.
Mentorship and Leadership: Mentor junior engineers and provide technical leadership in data engineering best practices.
What We Offer:
- Opportunities for professional growth and development.
- A collaborative and dynamic work environment.
- A competitive salary and benefits package.
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