Director of Data Engineering at Mixbook

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Warehousing, Redshift, dbt, Analytics Data Modeling, Orchestration Tools, Data Ingestion, Pipeline Reliability, Observability, Project Management, Data Quality, Metric Consistency, Communication Skills, Ownership Mindset, Legacy Data Systems, Machine Learning, E-commerce

Industry

Software Development

Description

About Mixbook Mixbook is the #1 rated photo book service in the US, with over 30K 5-star reviews, empowering over 6 million people to design and share their one-of-a-kind stories. We're a profitable, growing company known for our intuitive design platform, exceptional quality, and fanatical customer service. But Mixbook is more than just a product - we're a team of passionate individuals driven to make a difference. What truly sets Mixbook apart is our commitment to creating a workplace where you can thrive both personally and professionally. We value collaboration, open communication, and a growth mindset. We believe in empowering our team members to take ownership, embrace challenges, and make a meaningful impact. Our culture is built on a foundation of trust, constructive feedback, and a shared passion for delivering outstanding results. If you're looking for a place where your contributions are valued, your voice is heard, and you can grow alongside a talented team, then Mixbook is the place for you. Objective Mixbook is hiring a Director of Data Engineering to own Mixbook’s data foundation end-to-end. This is a hands-on leadership role with high accountability and executive visibility. You will be responsible for the reliability of the data warehouse, ingestion pipelines, and transformations that power analytics and executive reporting. You will lead a small team (2 direct reports) and are expected to personally design, build, and stabilize critical parts of the platform. This person will need to work in the EST time zone. You Will Own Mixbook’s data platform end-to-end, including ingestion, orchestration, transformation, and the Redshift data warehouse Establish clear accountability, SLAs, and standards for critical datasets and business metrics Stabilize and harden fragile pipelines, reducing data incidents and reactive firefighting Define and enforce best practices for dbt modeling, data quality, and metric consistency. Deliver analytics-ready models that power Looker and downstream use cases. Partner closely with Platform Engineering, Product Engineering, Data Analytics, and business stakeholders across Marketing, Product, Operations and Finance to align on priorities and tradeoffs Act as the primary point of contact for data reliability and warehouse health at the executive level Make pragmatic build vs. buy decisions and resist unnecessary replatforming or tool churn Lead by building. Write and review production data engineering code. Set technical standards and architectural direction. Enable faster, more confident analytics and experimentation by increasing trust in data Set the stage for future data science, ML and AI capabilities once foundations are solid You Have 8+ years of experience in data engineering or adjacent roles Experience as a Senior / Principal Data Engineer, Lead, or hands-on Director Proven track record building or stabilizing data platforms at mid-scale companies Project management/backlog management experience. This person will be expected to build a 12 month roadmap and drive prioritization. Deep experience with: Data warehousing (Redshift or similar) dbt and analytics data modeling Orchestration tools (Dagster, Airflow, etc.) Data ingestion, pipeline reliability, and observability Comfortable operating with a small team and high accountability Strong ownership mindset — you feel personally responsible for outcomes A proven track record of improving data reliability, data quality, and metric consistency in a real business environment The ability to prioritize ruthlessly and say “no” constructively when tradeoffs are required Experience working through legacy data systems and incrementally improving them without disrupting the business Clear, confident communication skills—especially when explaining technical tradeoffs to non-technical stakeholders An ownership mindset: you take personal responsibility for whether the data platform works or doesn’t Nice to have: Experience in B2C, e-commerce, or marketplace businesses Familiarity with Looker and semantic modeling Exposure to ML pipelines or production ML systems Our Mission & Culture At Mixbook, our mission is to empower people to be creative and connect deeply with the ones they love. Unlike most growth companies, we have invested deeply in culture - because we believe that when we love our people, they will love our customers, and our customers will love our business. You'll contribute to a product loved by millions and help people create lasting memories. You'll thrive in a healthy culture that values collaboration, growth, and open communication. You'll work with talented individuals who are passionate about what they do, and you'll enjoy competitive benefits and perks to support your well-being. We want people to join us who exude our core values: Scrappy: We act like entrepreneurs, taking ownership and finding creative solutions. Caring: We have a heart of empathy, supporting each other and our customers. Craftsmanship: We have a spirit of excellence, striving for the highest quality in everything we do. If you're ready to join a team that's making a real difference in the world, we encourage you to apply!

Responsibilities

The Director of Data Engineering will own Mixbook’s data platform end-to-end, ensuring the reliability of the data warehouse and ingestion pipelines. This role involves leading a small team and personally designing and stabilizing critical parts of the platform.