Director, Data Engineering

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, Data Engineering based in United States. This leadership role offers the opportunity to define and scale the data foundation behind a fast-growing technology platform. You will lead a multidisciplinary data organization while remaining hands-on in building critical systems and solving complex technical challenges. The position combines strategic ownership, engineering leadership, and direct execution to create reliable, scalable data capabilities. You will shape long-term data architecture, enable AI-driven innovation, and improve how teams use information to make decisions. Working across engineering, product, analytics, and business functions, you will establish standards that support growth and operational excellence. This is an ideal opportunity for a technical leader who enjoys building teams, driving transformation, and creating impactful data solutions. \n Accountabilities: As Director, Data Engineering, you will own the organization’s data strategy, architecture, and engineering execution while building a high-performing team capable of delivering scalable analytics and AI foundations. Design, build, and optimize critical data pipelines connecting business systems, including CRM, billing, and internal platforms, with the company’s data warehouse. Define and execute a long-term data architecture strategy while maintaining hands-on technical involvement in key initiatives. Establish engineering standards for pipeline design, data modeling, data quality, governance, and reliability. Lead and grow a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics teams. Own team structure, hiring strategy, headcount planning, and budget management for the data function. Partner with executive leadership and cross-functional teams to translate business objectives into scalable data platforms and investments. Evaluate existing integrations, automation processes, and technical systems to identify opportunities for improvement and modernization. Champion AI and automation initiatives by ensuring intelligent systems are built on reliable, accessible, and well-governed data foundations. Build and deliver complex technical solutions while mentoring engineers and establishing a culture of engineering excellence. Guide technical decisions around data platforms, AI enablement, and machine learning capabilities. Communicate technical strategies, priorities, and tradeoffs effectively with technical and non-technical stakeholders. Requirements: The ideal candidate is an experienced data engineering leader with strong technical depth, proven management experience, and the ability to balance strategic vision with hands-on execution. 8+ years of experience in data engineering, software engineering, or related technical fields. 4+ years of experience managing engineering teams and developing technical talent. Experience building and leading multidisciplinary data organizations of 5+ people. Advanced SQL and Python skills with strong understanding of data modeling and master data management (MDM) principles. Hands-on experience with Snowflake or similar cloud data platforms. Experience with dbt and data orchestration tools such as Airflow, Dagster, or Prefect. Proven ability to define data strategies, architecture standards, and scalable engineering practices. Experience developing AI and LLM enablement strategies and integrating AI technologies into business workflows. Strong understanding of modern data platforms, analytics infrastructure, and automation practices. Ability to operate at a Director level by managing budgets, prioritizing roadmaps, and influencing executive decisions. Strong communication skills with the ability to explain complex technical concepts clearly. Experience with AI agents, LLM applications, retrieval systems, or AI orchestration is highly preferred. Backend engineering experience, particularly with JavaScript or TypeScript, is a plus. Knowledge of ML engineering, MLOps, data governance, PII management, Salesforce, Stripe, Gong, or reverse ETL tools is beneficial. Benefits: Competitive base salary range of $200,000 - $230,000 plus a 15% bonus opportunity. New hire stock grant. 100% employer-paid medical, dental, and vision insurance for employees and dependents. 401(k) plan with company contribution. Generous paid time off policy. Comprehensive parental leave benefits. Remote work flexibility across the United States and Canada. Opportunity to lead a high-impact data function and shape future AI initiatives. Ability to influence company-wide technology strategy and innovation. \n 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! Why Apply Through Jobgether? 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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