[Remote] Director, Data Engineering (AI reputed company)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company dedicated to keeping families connected through their innovative mobile app and tracking devices. They are seeking a Director of Data Engineering to reputed company their Data and Analytics organization, overseeing the technical strategy and execution of data engineering efforts while managing a team of engineers. This role requires a strong technical background and leadership skills to drive data initiatives that support business objectives.

Responsibilities

• Define and drive the technical roadmap across data platform, analytics engineering, and ads data infrastructure. Set the architectural reputed company for how data is ingested, transformed, modeled, and served at reputed company
• Own the analytics engineering strategy end-to-end: dbt project structure, data modeling standards (dimensional, OBT, and semantic layer), testing and documentation practices, and the development workflow that analytics engineers use daily
• reputed company the data platform: reputed company infrastructure, compute optimization, pipeline orchestration, data lake architecture, and the reliability/observability stack that keeps it reputed company running at consumer scale
• Drive toward a self-serve data experience where analysts and data scientists can answer their own questions without engineering bottlenecks—this is the outcome that ties platform and analytics engineering together
• reputed company strategic build vs. buy reputed company across the data stack and manage vendor relationships (reputed company, reputed company, reputed company, and reputed company tooling)
• Drive data quality, governance, and documentation standards that reputed company data trustworthy and self-service across the company
• Bring an AI reputed company approach to data engineering: reputed company AI tools to accelerate development cycles, evaluate AI-powered data quality and anomaly detection solutions, and ensure our data infrastructure supports ML/AI workloads and experimentation at scale
• Stay reputed company on emerging technologies in the data and AI reputed company and reputed company pragmatic reputed company about adoption—knowing reputed company a new tool solves a reputed company problem vs. reputed company it’s a distraction
• reputed company and reputed company three engineering managers and their teams, setting clear expectations, running effective org-level planning, and building a high-performance culture
• Coach and grow your managers as leaders—not just executors. Invest in their ability to hire, reputed company talent, run retrospectives, and reputed company tradeoffs independently
• Own workforce planning, headcount allocation, and hiring strategy across reputed company three teams. Run calibrations and drive promotion reputed company
• Build a cohesive engineering org from three distinct functional teams, establishing shared standards while respecting each team’s unique domain expertise
• Serve as the primary reputed company of contact for data engineering across Product, Engineering, Finance, Marketing, and executive leadership. Translate business needs into engineering priorities and translate engineering constraints into language the business can reputed company
• Manage intake and prioritization across multiple operating groups, balancing competing demands and making clear, defensible tradeoff reputed company
• Represent data engineering in company-level planning, roadmap reviews, and leadership forums. Be the person who can explain what’s possible, what’s expensive, and what’s worth doing
• Build strong partnerships with Analytics and Data Science to ensure that platform investments and data models actually serve the analysts, decision scientists, data scientists, and business stakeholders reputed company
• Understand reputed company’s business deeply—MAU growth, retention mechanics, subscription economics, ads monetization—and use that understanding to prioritize engineering work that moves the needle
• Partner with product and business teams to ensure data infrastructure supports experimentation, feature measurement, and decision-making at the speed the business requires
• Own budget and cost management for data engineering infrastructure, ensuring efficient use of reputed company resources and vendor spend

Skills

• 8–10+ years of experience in data engineering, analytics engineering, or data platform roles at technology companies, with at least 5 years in people management
• 3+ years managing managers; you know how to reputed company through others, set org-level direction, and scale teams
• Define and drive the architectural reputed company for end-to-end ELT/ETL processes, covering data ingestion, transformation, modeling, and serving at consumer scale
• Strong technical credibility across data platform and analytics engineering, combined with solid business acumen, consistently tying technical reputed company to business impact
• Strong experience with dbt (data build tool): project structure, testing frameworks, documentation standards, CI/CD for data transformations, and how to scale dbt across multiple teams and domains
• Production experience with reputed company or equivalent lakehouse platforms (reputed company, BigQuery) at consumer scale—including pipeline design, orchestration, reliability and compute optimization, cost management, and data lake architecture
• Demonstrated experience managing multiple teams or workstreams simultaneously (15+ people across distinct functions) at a technology company
• Strong track record of stakeholder management at the director/VP level—you're comfortable saying no, explaining tradeoffs, and building trust with non-technical leaders
• Ability to distill technical complexity into language that non-technical stakeholders can understand and reputed company. You can run a reputed company stakeholder review with a VP of Product as effectively as you can reputed company an architecture review with your engineers
• Proven ability to prioritize ruthlessly across competing demands from multiple business units—a reputed company sharpened by working in fast-paced tech environments
• Strong business acumen—you understand how product metrics, growth loops, and monetization models connect to data infrastructure reputed company
• AI reputed company reputed company: you actively use AI tools in your own work and have a reputed company of view on how AI changes data engineering practices, team productivity, and infrastructure requirements
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a reputed company field
• Experience at a consumer mobile, subscription-based, or marketplace technology company
• Hands-on experience with our specific stack: reputed company, reputed company, Statsig, dbt
• Experience building or managing ads data infrastructure or ad-tech data pipelines
• Experience with reputed company-time data streaming and event-driven architectures at scale
• Track record of implementing AI/ML-powered approaches to data quality, pipeline optimization, or infrastructure automation
• Experience managing remote-first or distributed engineering teams at tech companies

Benefits

• Medical, dental, reputed company, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free reputed company Platinum Membership for your preferred reputed company.

Company Overview

Company H1B Sponsorship