Director, Engineering (Data & Insights) [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Engineering (Data & Insights) in United States.

This is an exciting leadership opportunity for an experienced engineering executive passionate about building scalable, data-driven SaaS solutions in a fast-paced e-commerce environment. In this role, you will lead multiple engineering teams focused on data platforms, analytics infrastructure, and insights products that directly influence business growth and customer success. You’ll play a strategic role in shaping long-term technical vision while fostering a high-performing, AI-first engineering culture centered on innovation, collaboration, and operational excellence. Working cross-functionally with product, operations, and executive stakeholders, you will drive large-scale technical initiatives and ensure the delivery of reliable, scalable systems. This position offers the chance to influence organizational strategy, mentor engineering leaders, and help advance cutting-edge technologies in cloud infrastructure, data engineering, and AI-powered solutions. It’s an ideal opportunity for a collaborative and forward-thinking leader who thrives in dynamic, high-growth environments.

Accountabilities:

• Lead and oversee multiple engineering teams responsible for data platforms, analytics systems, and scalable SaaS solutions, ensuring alignment with business goals and technical strategy.
• Build, mentor, and retain high-performing engineering managers and senior technical talent while fostering an inclusive and collaborative engineering culture.
• Define and communicate long-term architectural and platform strategies, partnering with executive leadership to translate business priorities into actionable engineering roadmaps.
• Drive operational excellence through continuous improvement of development processes, agile methodologies, CI/CD practices, automated testing, and DevOps principles.
• Collaborate closely with product, operations, and cross-functional stakeholders to prioritize initiatives, allocate resources effectively, and ensure successful delivery of projects.
• Oversee large-scale distributed systems, data warehouse architectures, ETL/ELT pipelines, and real-time data processing solutions across cloud environments.
• Promote strong ownership of data quality, governance, scalability, and fault tolerance while ensuring engineering teams proactively solve production challenges.
• Manage engineering budgets, technical planning, and stakeholder communication while providing visibility into progress, risks, and outcomes.

Requirements:

• 10+ years of software development experience within SaaS environments, including leadership of multiple engineering teams and large-scale technical initiatives.
• Strong expertise in AWS data services, SQL at scale, data warehouse design, ETL/ELT pipelines, and modern data lake architectures.
• Experience working with streaming or near-real-time data technologies such as Kafka, Kinesis, or similar platforms.
• Proven ability to lead engineering organizations in fast-paced, high-growth industries while delivering scalable, fault-tolerant applications.
• Strong understanding of agile development methodologies such as Scrum and Kanban, along with CI/CD and DevOps best practices.
• Experience leveraging AI tools and technologies to improve productivity, communication, analysis, and engineering workflows.
• Excellent leadership, communication, and stakeholder management skills, with the ability to align technical initiatives to business outcomes.
• Familiarity with distributed systems, analytics platforms, BI tools, and cloud-native infrastructure.
• Preferred experience with Databricks, SQL Server, self-service analytics platforms, e-commerce technologies, and AI/LLM-powered data solutions.
• Bachelor’s degree in Computer Science or a related field preferred.

Benefits:

• Competitive base salary ranging from $175,000 to $328,000 annually
• Discretionary annual bonus opportunity (target bonus of 15%)
• Remote-first work environment with flexible work-life balance
• Medical, dental, and vision coverage starting on Day 1
• Company-sponsored HSA contributions
• 6% 401(k) employer match
• Generous paid time off package, including wellness days, floating holidays, sick leave, and volunteer time
• Paid parental leave for primary and secondary caregivers
• Monthly remote work stipend
• Tuition assistance and ongoing career development opportunities
• Wellness resources including Employee Assistance Program and Calm app access
• Pet insurance, legal assistance, identity theft protection, and life insurance
• Collaborative, inclusive culture with team-building activities and growth opportunities

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.