Head – Data Engineering & Cloud Initiatives
Mogi I/O : OTT/Podcast/Short Video Apps for you, WorkFromHome
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Work Type: Full-Time | Onsite/Hybrid/Remote (USA only) | Permanent
Compensation: USD 180,000 – 220,000 annually + 30% Bonus
Hours: Standard Business Hours (EST or PST)
Notice Period: Max 1 Month (Immediate joiners preferred)
Note - Must be a US Citizen or Green Card holder (no Visa sponsorship available).
Job Overview
- We are seeking a seasoned AVP – Data & Cloud Transformation professional to lead strategic initiatives that help clients adopt and scale modern data platforms and cloud technologies. This is a leadership role requiring deep technical expertise, business acumen, and a hands-on approach to delivering client-facing solutions.
- Minimum 8 years of hands-on experience in Data Engineering (Databricks, Snowflake, SQL, Python)
- Proven expertise in cloud transformation (AWS, Azure), modernization strategy, and architecture
- Experience in pre-sales and client solutioning, especially for large enterprises
- Strong background in solution architecture and technical leadership
- Excellent communication and stakeholder management skills
- Education from premier institutions preferred
- Candidates must be US Citizens or Green Card Holders only
- Lead data and cloud transformation strategies with clear business outcomes
- Engage CXOs to define roadmaps and present business cases
- Support pre-sales via workshops, proposals, and RFPs
- Provide hands-on guidance on AWS, Azure, GCP, Databricks, Snowflake, SQL, Python
- Create technical content and stay updated on data/cloud trends
- Align pre-sales with delivery and improve internal processes
- Mentor junior team members and encourage knowledge sharing
- Manage client relationships and drive upsell opportunities
- Job stability and consistent career progression are essential.
- Candidates can be based anywhere in the USA; remote work allowed if not located near office locations (Dallas, NJ, Santa Clara).
- Interview Rounds: 4 (Technical, Architecture, 2 Leadership Rounds)
Seniority level
Seniority level
Executive
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Software Development
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