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Data Solutions Architect

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Job Title: Data Solutions Architect

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  • Lead the design, development, and maintenance of scalable, secure, and high-performance data solutions on Databricks.

Key Responsibilities:

  • Collaborate with business stakeholders, data scientists, and analysts to deliver actionable data solutions.
  • Optimize data workflows for performance, cost-efficiency, and reliability.
  • Implement best practices in data governance, security, and quality management.
  • Integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
  • Mentor junior engineers and provide technical leadership in data engineering best practices.
  • Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity.

Required Skills & Experience:

  • 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 (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.