Big Data Manager Role

New

Skills

Architecture AWS Big Data Cloud Databricks Data Engineering Google Cloud Platform Kafka Microsoft Azure

Join our Professional Services team as a Big Data Manager, where you will collaborate with clients on impactful short- to medium-term data projects leveraging the Databricks platform. In this customer-facing, leadership role, you will oversee the delivery of data engineering, data science, and cloud integration solutions, empowering organizations to maximize the value of their data assets. You will also guide a team of technical experts and ensure excellence in project execution and customer service.

Key Responsibilities
  • Lead and manage a team of Data Engineers and Architects on client-facing big data projects.
  • Engage directly with customers to deliver data engineering, data science, and cloud integration solutions using Databricks.
  • Design and implement big data architectures, reference solutions, and production-grade MVPs.
  • Provide architectural consulting, technical training, and best practice guidance for customers’ transformational data initiatives.
  • Collaborate with Engineering and Support teams to resolve technical issues and provide feedback for continuous improvement.
Required Skills & Qualifications
  • 10+ years of experience with big data technologies (e.g., Apache Spark, Kafka, Data Lakes).
  • 3+ years of people management, leading technical teams in data engineering or architecture.
  • Proven hands-on experience designing and deploying big data architectures independently.
  • Strong expertise across cloud platforms: AWS, GCP, and Azure.
  • Experience delivering projects and solutions on the Databricks platform (preferred).
  • Excellent communication, documentation, and whiteboarding skills.
  • Customer-focused mindset with a track record of delivering high-quality technical solutions.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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