Senior Enterprise Data Architect

2 weeks ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time US$ 1,50,000 - US$ 2,00,000

Our ideal candidate will be a visionary data engineer who has a proven track record of leveraging Big Data and Cloud technologies to drive innovation and automation in the industry.

The successful applicant will possess exceptional leadership, communication, and stakeholder management skills, with a strong ability to ideate, conceptualize, and lead innovation and automation opportunities that benefit our customers and organization.

About the Role
  • We are seeking a senior data engineer to lead the development of custom solutions for Adobe Experience Cloud customers and frameworks.
  • The ideal candidate will have experience working with Container-orchestration systems like Kubernetes, enterprise-grade ETL tools, and Adobe Experience Cloud solutions.
Key Responsibilities
  1. Ideate, conceptualize, and lead innovation and automation opportunities that could potentially benefit Adobe and its customers.
  2. Align all stakeholders in the organization and ensure adoption of the innovation and automation output.
  3. Develop low-level design as per approved Tech Specification or equivalent inputs provided.
  4. Build and deliver technology deliverables as per Tech Specifications/low-level design or equivalent inputs.
  5. Maintain and support existing solutions and technology frameworks.
Requirements
  • 12 to 16 years of professional software engineering experience, mostly focused on Big Data and Cloud technologies.
  • At least 3 years of customer-facing international exposure.
  • Exceptional leadership, communication, and stakeholder management skills.
  • Clear understanding and ability to implement distributed storage, processing, and scalable applications.
  • Experience of working with SQL and NoSQL databases.
  • Proficiency in writing distributed and scalable data processing code using PySpark, Python, and related libraries.
Desirable Skills
  • Experience supporting GTM strategy and pre-sales teams.
  • Experience working with Google Cloud platforms.
  • Experience working with Web Analytics or Digital Marketing.
  • Experience working with Data Science, ML/AI, R, or Jupyter.

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