Cloud Engineering Program Lead

4 weeks ago


Mumbai, Maharashtra, India eClerx Full time

The ideal candidate will be a seasoned leader with a proven track record in driving successful cloud engineering initiatives. They will be responsible for anticipating and understanding evolving customer needs, creating a customer-centric organization, and leveraging innovative thinking frameworks to foster value-added relations. With a strong focus on bold initiatives, continuous improvement, and governance, the leader will adhere to delivery standards set by the client and eClerx. They will leverage knowledge of market drivers and competition to effectively anticipate trends and opportunities, transforming, aligning, and energizing organization resources to lead the organization in a new direction.

Responsibilities:

  1. Represent eClerx in client pitches and external forums.
  2. Own platform and expertise through various COE activities and content generation to promote practice and business development.
  3. Lead continuous research and assessments to explore best and latest platforms, approaches, and methodologies.
  4. Contribute to developing the practice area through best practices, ideas, and Point of Views in the form of white papers and micro articles.
  5. Lead/partner in multi-discipline assessments and workshops at client sites to identify new opportunities.
  6. Lead key projects and provide development/technical leadership to junior resources.
  7. Drive solution design and build to ensure scalability, performance, and reuse.
  8. Design robust data architectures, considering performance, data quality, scalability, and data latency requirements.
  9. Recommend and drive consensus around preferred data integration and platform approaches, including Azure and Snowflake.
  10. Anticipate data bottlenecks (latency, quality, speed) and recommend appropriate remediation strategies.

Requirements:

  • Bachelor's Degree with at least 2-3 large-scale Cloud implementations within Retail, Manufacturing, or Technology industries.
  • 10+ years of overall experience with data management and cloud engineering.
  • Expertise in Azure Cloud, Azure Data Lake, Databricks, Snowflake, Teradata, and compatible ETL technologies.
  • Strong attention to detail and ability to collaborate with multiple parties, including analysts, data subject matter experts, external labs, etc.


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