Strategic Databricks Delivery Expert

2 weeks ago

Bengaluru, Karnataka, India beBeeDatabricks Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Databricks Delivery Lead

We are seeking an experienced professional to lead the end-to-end delivery of Databricks-based solutions for our clients. As the Senior Databricks Delivery Lead, you will oversee the successful implementation, optimization, and scaling of big data and analytics solutions.

  • You will be responsible for leading and managing Databricks-based project delivery, ensuring all solutions are designed, developed, and implemented according to client requirements, best practices, and industry standards.
  • You will act as the subject matter expert (SME) on Databricks, providing guidance to teams on architecture, implementation, and optimization.
  • You will collaborate with architects and engineers to design optimal solutions for data processing, analytics, and machine learning workloads.
  • You will serve as the primary point of contact for clients, ensuring alignment between business requirements and technical delivery.
  • You will maintain effective communication with stakeholders, providing regular updates on project status, risks, and achievements.
  • You will oversee the setup, deployment, and optimization of Databricks workspaces, clusters, and pipelines.
  • You will ensure that Databricks solutions are optimized for cost and performance, utilizing best practices for data storage, processing, and querying.
  • You will continuously evaluate the effectiveness of the Databricks platform and processes, suggesting improvements or new features that could enhance delivery efficiency and effectiveness.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, or a related field (Master's or MBA preferred).
  • Relevant years in IT services with experience specifically in Databricks and cloud-based data engineering.
PREFERRED SKILLS:
  • Proven experience in leading end-to-end delivery of data engineering or analytics solutions on Databricks.
  • Strong experience in cloud technologies (AWS, Azure, GCP), data pipelines, and big data tools.
  • Hands-on experience with Databricks, Spark, Delta Lake, MLflow, and related technologies.
  • Expertise in data engineering concepts, including ETL, data lakes, data warehousing, and distributed computing.
Certifications:
  • Databricks Certified Associate or Professional.
  • Cloud certifications (AWS Certified Solutions Architect, Azure Data Engineer, or equivalent).
  • Certifications in data engineering, big data technologies, or project management (e.g., PMP, Scrum Master).

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