Databricks Architect

2 days ago

Hyderabad, Telangana, India Paltech Consulting Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Key Responsibilities:

  • Design and develop the migration strategies and processes
  • Collaborate with stakeholders to understand business requirements and technical challenges.
  • Analyze current data and scope for optimization during the migration process.
  • Define the architecture and roadmap for cloud-based data and analytics transformation on Databricks.
  • Design, implement, and optimize scalable, high-performance data architectures using Databricks.
  • Build and manage data pipelines and workflows within Databricks.
  • Ensure that best practices for security, scalability, and performance are followed.
  • Implement Databricks solutions that enable machine learning, business intelligence, and data science workloads.
  • Oversee the technical aspects of the migration process, from planning through to execution.
  • Work closely with engineering and data teams to ensure proper migration of ETL processes, data models, and analytics workloads.
  • Troubleshoot and resolve issues related to migration, data quality, and performance.
  • Create documentation of the architecture, migration processes, and solutions.
  • Provide training and support to teams post-migration to ensure they can leverage Databricks.

Experience:

  • 7+ years of experience in data engineering, cloud architecture, or related fields.
  • 3+ years of hands-on experience with Databricks, including the implementation of data engineering solutions, migration projects, and optimizing workloads.
  • Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration with Databricks.
  • Experience in end-to-end data migration projects involving large-scale data infrastructure.
  • Familiarity with ETL tools, data lakes, and data warehousing solutions.

Skills:

  • Expertise in Databricks architecture and best practices for data processing.
  • Strong knowledge of Spark, Delta Lake, DLT, Lakehouse architecture, and other latest Databricks components.
  • Proficiency in Databricks Asset Bundles
  • Expertise in design and development of migration frameworks using Databricks
  • Proficiency in Python, Scala, SQL, or similar languages for data engineering tasks.
  • Familiarity with data governance, security, and compliance in cloud environments.
  • Solid understanding of cloud-native data solutions and services.

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