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1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Work Type: Full-Time | Onsite/Hybrid/Remote (USA only) | Permanent

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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.

Must-Have Skills

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

Key Responsibilities

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

Note

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 levelMid-Senior level Employment type

Employment typeFull-time Job function

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