Sr. Director, Data Engineering (Remote)

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

This role offers a unique opportunity to lead global data engineering initiatives, shaping the architecture, strategy, and delivery of enterprise data platforms. You will drive solutions that enable analytics, AI/ML workflows, and executive metrics while mentoring and scaling distributed teams. The position blends hands-on technical leadership with strategic oversight, ensuring data systems are secure, scalable, and aligned with business priorities. You will collaborate closely with cross-functional stakeholders to integrate enterprise applications, optimize data pipelines, and provide curated datasets for advanced analytics. This role is ideal for a visionary leader who thrives in a fast-paced environment and wants to make a measurable impact on enterprise data strategy and AI-driven initiatives.

Accountabilities

• Define and execute the enterprise data engineering roadmap aligned with business strategy and technology goals.
• Lead architecture, design, and implementation of scalable data pipelines and enterprise integrations.
• Build, mentor, and scale a global team of data engineers, fostering innovation and operational excellence.
• Partner with Data Science, AI, and business teams to deliver high-quality, curated datasets.
• Implement modern data protocols and frameworks to support AI-driven workflows.
• Deliver consistent metrics for GTM, Finance, Customer Success, and other business functions.
• Translate complex business objectives into scalable, reliable technical solutions.

• 15+ years of experience in data engineering, enterprise integrations, and analytics platforms, including 7+ years in senior leadership roles.
• Hands-on technical leadership with experience in architecture design, pipeline development, and troubleshooting.
• Expertise with Sales, Marketing, Finance/ERP systems, and enterprise-grade integrations.
• Proven ability to design and deliver scalable solutions for high-volume data ingestion and analytics.
• Experience supporting AI/ML and Data Science teams through advanced data infrastructure.
• Track record of managing global, distributed engineering teams in high-growth environments.
• Excellent communication skills bridging technical execution and business priorities.
• Bachelor’s or Master’s in Computer Science, Engineering, or related field; MBA a plus.
• Technical proficiency with cloud data warehouses (Snowflake, Redshift), orchestration tools (Airflow, DBT), integration platforms (MuleSoft, Workato, Boomi), real-time/batch pipelines (Kafka, Kinesis, Spark), SQL, Python, and cloud platforms (AWS, GCP, Azure).
• SaaS or security industry experience, particularly in product adoption metrics, is preferred.

• Remote-friendly and flexible work culture.
• Competitive base salary: $210,000–$300,000, with eligibility for bonuses and equity grants.
• Comprehensive health, dental, and vision coverage.
• 401(k) retirement plan and paid time off.
• Paid parental and adoption leave.
• Professional development opportunities for all employees.
• Employee networks, volunteer programs, and community-building initiatives.
• Inclusive, mission-driven workplace culture and Great Place to Work Certified™ globally.

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 3 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!

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