VP, Data Engineering (Remote) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud-Native Platforms, Data Integration, APIs, Streaming Data, Data Governance, AI/ML, Team Leadership, Collaboration, Innovation, Data Quality, Regulatory Compliance, Performance Optimization, Cost Efficiency, Master Data Integration, Metadata Management

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a VP, Data Engineering (Remote) in the United States. As the VP of Data Engineering, you will lead the enterprise-wide data strategy, driving the design, operation, and evolution of modern data platforms and pipelines. You will ensure secure, scalable, and cost-efficient architectures that enable analytics, AI/ML, and data governance across the organization. This role requires a combination of technical expertise and executive leadership to partner with business leaders, influence strategic initiatives, and translate complex data capabilities into measurable business value. You will manage a high-performing global team, foster a culture of collaboration and innovation, and oversee integration across multiple business units. This is an opportunity to shape the company’s data ecosystem and support enterprise-wide digital transformation in a fast-paced, dynamic environment. Accountabilities Define and execute the enterprise data engineering strategy, aligned with business priorities and digital transformation initiatives. Oversee design, development, and operation of cloud-native data platforms (e.g., Snowflake, Databricks, AWS/Azure/GCP) and data integration frameworks. Drive engineering excellence in pipelines, APIs, streaming/real-time data, master data integration, and metadata management. Ensure platforms are optimized for performance, security, scalability, and cost efficiency, implementing FinOps best practices. Partner with governance and stewardship teams to maintain data quality, lineage, and regulatory compliance. Provide tools and frameworks to enable analytics, business intelligence, and AI/ML initiatives. Serve as a strategic partner to business leaders, translating data engineering investments into measurable outcomes. Lead, mentor, and inspire a global team of data engineers, architects, and platform specialists, fostering accountability, collaboration, and innovation. Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 15+ years of progressive leadership in data engineering, integration, or platform delivery, with 7+ years in senior director or executive roles. Proven track record delivering and scaling enterprise data platforms in global, cloud-native environments. Demonstrated expertise in building data pipelines, real-time/streaming architectures, and large-scale integration frameworks. Strong grounding in data governance, master/reference data, and regulatory compliance in complex industries. Exceptional leadership and team development skills, with experience managing distributed engineering teams. Ability to influence C-suite leaders, translating technical capabilities into business impact and strategic value. Competitive salary with performance-based incentives. Remote work flexibility. Comprehensive healthcare, dental, and vision coverage. Retirement savings plans with company contributions. Paid time off and professional development opportunities. Inclusive, collaborative, and innovative workplace culture. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the enterprise-wide data strategy and oversee the design, operation, and evolution of modern data platforms and pipelines. Manage a high-performing global team and ensure secure, scalable, and cost-efficient architectures that enable analytics and data governance.