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Senior Data Solutions Architect

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Job Description

As a seasoned Databricks Engineer, you will play a pivotal role in designing, developing, and maintaining data pipelines and ETL processes on Databricks. This involves leveraging your expertise to lead the architecture and implementation of scalable, secure, and high-performance data solutions.

You will collaborate closely with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions that drive business growth. Additionally, you will be responsible for optimizing data workflows for performance, cost-efficiency, and reliability.

Furthermore, you will integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses, ensuring seamless data flow and maximum efficiency.

Moreover, you will implement best practices in data governance, security, and quality management, setting the standard for data excellence within the organization.

Required Skills & Experience
  • 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.