📍 Job Overview

Job Title: AVP – Data & Cloud Transformation
Company: Elvis Eckardt Recruitment & Sales Solutions Limited
Location: Santa Clara, California, United States
Job Type: Full-time, Hybrid (Remote or On-site)
Category: Data Engineering, Cloud Architecture, Pre-Sales
Date Posted: June 17, 2025
Experience Level: 13-19 years
Remote Status: Hybrid (Remote or On-site in Dallas, NJ, or Santa Clara)

🚀 Role Summary

Lead strategic cloud and data transformation initiatives, aligning with clients' business objectives
Serve as a trusted advisor to C-level executives, defining and delivering innovative data strategies and cloud transformation roadmaps
Drive pre-sales leadership, technical architecture, and client advisory in cloud and data engineering domains
Collaborate with cross-functional teams to shape bespoke client solutions and maintain long-term client relationships

📝 Enhancement Note: This role requires a strong blend of technical expertise, business acumen, and exceptional communication skills to succeed in a fast-paced, dynamic environment.

💻 Primary Responsibilities

Strategic Vision & Client Engagement:
- Design and execute cloud and data transformation strategies that align with clients' business objectives
- Lead C-level conversations to understand pain points and propose effective solutions
- Define data modernization roadmaps, timelines, and KPIs to measure success
Pre-Sales Leadership:
- Serve as a trusted advisor during workshops, demos, and executive presentations
- Partner with sales teams to respond to RFPs, craft solution proposals, and unlock new business opportunities
- Collaborate with technical delivery teams to shape bespoke client solutions
Technical Oversight:
- Guide clients on best practices in cloud migration, data lakes, data architecture, and cloud-native technologies
- Maintain strong awareness of the latest tools and trends in Databricks, Snowflake, Python, SQL, AWS, and Azure
- Produce whitepapers, solution briefs, and internal enablement content
Team Collaboration & Mentorship:
- Mentor junior architects and engineers
- Align cross-functional internal teams (sales, tech, delivery) to ensure cohesive execution
Customer Success & Relationship Management:
- Maintain long-term client relationships and drive account growth through upsell/cross-sell opportunities
- Act as the primary escalation point for technical discussions and solution refinement

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field from a premier institute (preferred)

Experience: 8+ years of deep Data Engineering experience and 3+ years in a pre-sales or advisory capacity

Required Skills:

Proven expertise in Databricks, Snowflake, Python, SQL, AWS, and Azure
Strong understanding of cloud migration, data transformation, architecture, and solutioning
Excellent communication and stakeholder management skills
Background in technology (engineering or architecture roles) before moving into a strategic role
Strong job stability (3+ years average tenure per company)

Preferred Skills:

Experience working remotely or in a hybrid environment
Familiarity with enterprise cloud platforms and modern data stack technologies

📊 Web Portfolio & Project Requirements

Portfolio Essentials:
- Case studies demonstrating successful cloud and data transformation projects
- Examples of data modernization roadmaps and strategic plans
- Testimonials or references from satisfied clients
Technical Documentation:
- Whitepapers or solution briefs showcasing technical expertise in cloud and data engineering domains
- Examples of internal enablement content or training materials

💵 Compensation & Benefits

Salary Range: USD 180,000 – 220,000 base + 30% bonus

Benefits:

Competitive bonus structure
Equal Opportunity Employer

Working Hours: Full-time (40 hours/week), with flexibility for project deadlines and maintenance windows

📝 Enhancement Note: The salary range is based on industry standards for similar roles and takes into account the required experience level and the location of the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise IT & Digital Transformation

Company Size: Medium to Large (100-10,000 employees)

Founded: Not specified

Team Structure:

Cross-functional teams consisting of sales, tech, and delivery personnel
Flat or matrix organizational structure, with a focus on collaboration and agility

Development Methodology:

Agile or Scrum methodologies for project management
Collaborative and iterative development processes
Strong focus on customer success and relationship management

Company Website: [Not specified]

📝 Enhancement Note: The company's industry and size suggest a dynamic, fast-paced environment with ample opportunities for growth and collaboration.

📈 Career & Growth Analysis

Web Technology Career Level: Senior or Executive level, with a focus on strategic decision-making and client engagement

Reporting Structure: Reports directly to the C-level executives or senior management within the organization

Technical Impact: Significant impact on enterprise cloud and data transformation strategies, driving business value through innovative solutions

Growth Opportunities:

Opportunities to advance to a more senior role within the organization, such as Vice President or C-level position
Potential to expand the scope of responsibilities to include additional domains or regions
Possibility to mentor and develop junior team members, fostering a culture of growth and learning

📝 Enhancement Note: This role offers significant growth potential, with the opportunity to make a substantial impact on the organization's success and advance to more senior positions.

🌐 Work Environment

Office Type: Hybrid (Remote or On-site) with flexible work arrangements

Office Location(s):

Dallas, New Jersey, or Santa Clara (on-site)
Remote (for candidates located outside these areas)

Workspace Context:

Collaborative workspace with opportunities to work with diverse teams across different domains and regions
Access to modern tools and technologies to support remote work and collaboration
Flexible work arrangements to accommodate individual needs and preferences

Work Schedule: Full-time (40 hours/week), with flexibility for project deadlines and maintenance windows

📝 Enhancement Note: The hybrid work environment offers a balance between on-site collaboration and remote flexibility, allowing for a more personalized work experience.

📄 Application & Technical Interview Process

Interview Process:

Initial screening call to assess technical and cultural fit
Technical deep dive to evaluate cloud and data engineering expertise
Client engagement simulation to demonstrate pre-sales leadership and strategic thinking
Final interview with senior leadership to discuss career growth and expectations

Portfolio Review Tips:

Highlight successful cloud and data transformation projects, emphasizing the impact on business outcomes
Include case studies demonstrating strong client relationships and account growth
Showcase technical expertise through whitepapers, solution briefs, or internal enablement content

Technical Challenge Preparation:

Brush up on the latest trends and tools in cloud migration, data transformation, and architecture
Prepare examples of strategic thinking and business acumen in the context of cloud and data engineering
Familiarize yourself with the company's industry and culture to demonstrate a strong fit

ATS Keywords:

Cloud migration, data transformation, architecture, solutioning, pre-sales, client engagement, technical oversight, mentorship, stakeholder management, AWS, Azure, Databricks, Snowflake, Python, SQL

📝 Enhancement Note: The interview process focuses on assessing technical expertise, strategic thinking, and cultural fit, with a strong emphasis on client engagement and business acumen.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

AWS
Azure

Data Technologies:

Databricks
Snowflake
Python
SQL

Other Technologies:

Cloud migration tools and frameworks
Data transformation and architecture tools
Cloud-native technologies (e.g., Kubernetes, Docker)

📝 Enhancement Note: The technology stack is focused on cloud and data engineering domains, with a strong emphasis on AWS, Azure, Databricks, and Snowflake.

👥 Team Culture & Values

Web Development Values:

Innovation and continuous learning
Collaboration and cross-functional teamwork
Customer-centric approach
Strong technical expertise and business acumen

Collaboration Style:

Cross-functional collaboration between sales, tech, and delivery teams
Agile and iterative development processes
Strong focus on customer success and relationship management

📝 Enhancement Note: The company culture emphasizes innovation, collaboration, and a customer-centric approach, with a strong focus on technical expertise and business acumen.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Staying up-to-date with the latest trends and tools in cloud migration, data transformation, and architecture
Balancing technical expertise with strong business acumen and strategic thinking
Building and maintaining strong client relationships in a dynamic and competitive market

Learning & Development Opportunities:

Opportunities to expand technical expertise in emerging cloud and data engineering domains
Possibility to develop leadership and mentoring skills through team collaboration and knowledge sharing
Access to training and development resources to support career growth and advancement

📝 Enhancement Note: This role presents significant technical challenges and learning opportunities, with a strong focus on staying up-to-date with the latest trends and tools in cloud and data engineering domains.

💡 Interview Preparation

Technical Questions:

Questions assessing cloud and data engineering expertise, with a focus on strategic thinking and business acumen
Scenario-based questions evaluating pre-sales leadership and client engagement skills
Questions exploring technical depth and breadth in cloud migration, data transformation, and architecture

Company & Culture Questions:

Questions assessing cultural fit and alignment with the company's values and mission
Questions exploring the candidate's understanding of the company's industry and market position
Questions evaluating the candidate's ability to build and maintain strong client relationships

Portfolio Presentation Strategy:

Highlight successful cloud and data transformation projects, emphasizing the impact on business outcomes
Include case studies demonstrating strong client relationships and account growth
Showcase technical expertise through whitepapers, solution briefs, or internal enablement content

📝 Enhancement Note: The interview process focuses on assessing technical expertise, strategic thinking, and cultural fit, with a strong emphasis on client engagement and business acumen.

📌 Application Steps

To apply for this AVP – Data & Cloud Transformation position:

Submit your CV and a cover letter detailing your relevant experience and qualifications for the role
Prepare case studies and examples showcasing your cloud and data transformation expertise
Research the company's industry and culture to demonstrate a strong fit
Practice technical and behavioral interview questions to ensure a strong performance

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

AVP – Data & Cloud Transformation