AVP – Cloud Data Engineer & Architecture

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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.

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

• Executive

Employment type

• Full-time

Job function

• Administrative
• Software Development