
Senior Data Solutions Architect
7 days ago
Job Description
- The primary objective of this role is to design, develop, and maintain robust data pipelines and ETL processes on Databricks.
- This position will lead the architecture and implementation of scalable, secure, and high-performance data solutions, collaborating with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data insights.
- Key responsibilities include optimizing data workflows for performance, cost-efficiency, and reliability, as well as integrating data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
- The successful candidate will implement best practices in data governance, security, and quality management, while mentoring junior engineers and providing technical leadership in data engineering best practices.
- Troubleshooting and resolving issues in data pipelines is also a critical aspect of this role, ensuring high data availability and integrity.
Required Skills & Qualifications
- At least 7 years of experience in Data Engineering.
- Proven expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
- Strong experience with PySpark, Spark SQL, and Scala programming languages.
- Hands-on experience with cloud platforms, preferably Azure, with AWS/GCP experience a plus.
- Proficiency in data modeling, ETL development, and data warehousing concepts.
- Solid understanding of big data ecosystems, including Hadoop and Kafka.
- Strong SQL development skills with a focus on performance tuning.
- Experience in implementing CI/CD pipelines for data solutions.
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