Cloud Engineering Leader
1 day ago
The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, the candidate must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations.
The leader must have a right balance of bold initiatives, continuous improvement, and governance to adhere to delivery standards set by the client and eClerx. Leveraging knowledge of market drivers and competition, the leader must effectively anticipate trends and opportunities.
The leader must also transform, align, and energize organization resources, taking appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, raising the performance bar, building capability, and bringing out the best in their teams.
Key Responsibilities:
- Represent eClerx in client pitches, external forums, and COE activities to promote cloud engineering expertise.
- Lead research, assessments, and development of best practices to keep our cloud engineering solutions at the forefront of technology.
- Contribute to the growth of the cloud engineering practice through thought leadership, including the creation of white papers and articles.
- Lead and collaborate on multi-discipline assessments at client sites to identify new cloud-based opportunities.
- Provide technical leadership in the design and development of robust, scalable cloud architectures.
- Drive key cloud engineering projects, ensuring high performance, scalability, and adherence to best practices.
- Design and implement data architectures that address performance, scalability, and data latency requirements.
- Lead the development of cloud-based solutions, ensuring they are scalable, robust, and aligned with business needs.
- Anticipate and mitigate data bottlenecks, proposing strategies to enhance data processing efficiency.
- Provide mentorship and technical guidance to junior team members.
Requirements:
- Bachelor's degree with 10+ years of experience in data management and cloud engineering.
- Proven experience in at least 2-3 large-scale cloud implementations within industries such as Retail, Manufacturing, or Technology.
- Expertise in Azure Cloud, Azure Data Lake, Databricks, Teradata, and ETL technologies.
- Strong problem-solving skills with a focus on performance optimization and data quality.
- Ability to collaborate effectively with analysts, subject matter experts, and external partners.
Salary for this position is estimated to be around $180,000 per year, depending on location and qualifications.
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