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Senior Data Solutions Architect

2 weeks ago


Hubli, Karnataka, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Description:

Data Engineering Leadership

We are seeking a seasoned Data Solutions Architect to lead the design, development, and implementation of scalable, secure, and high-performance data solutions on Databricks.

The ideal candidate will have a strong background in data engineering, with expertise in Databricks, PySpark, Spark SQL, and Scala. They will work closely with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions.

Key Responsibilities:

  • Design and develop data pipelines and ETL processes on Databricks
  • Lead the architecture and implementation of scalable, secure, and high-performance data solutions
  • Collaborate with cross-functional teams to gather requirements and deliver data solutions
  • Optimize data workflows for performance, cost-efficiency, and reliability
  • Integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses
  • Implement best practices in data governance, security, and quality management
  • Mentor junior engineers and provide technical leadership in data engineering best practices

Required Skills & Qualifications:

  • 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