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Director, Data Science Instrumentation & Architecture

Mountain View, CA

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.


The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.


We’re looking for a Director of Data Science, Instrumentation & Architecture to join Team Snapchat!

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What you’ll do:

  • Work as part of the Data Science and Analytics leadership team and focus on the successful deployment of data capabilities, models and tools that can support the entire team’s needs.

  • Be the primary point of contact for Engineering and Data Product Development in giving feedback and assistance on new products or procedures

  • Oversee and create detailed specifications including business rules, data flows, data models, and analytical use cases then educate, influence and enforce best practices on all aspects of the data lifecycle to adhere to those standards

  • Partner with Data Engineering leadership to ensure data is available, reliable, consistent, accessible, secure, and timely to support the mission and operating cadence of the enterprise and to align and standardize data models

  • Architect and design solutions for data quality and reporting that recognizes the fast moving and iterative nature of the business, particularly focused on data pipeline efficiency and maintenance for last mile ETL work, particularly around BQ and Airflow

  • Lead data definition and data management work sessions with business and Analytics leads to develop common measures, dimensions, and attributes; drive alignment with to facilitate ease-of-use and self-service analytics around critical KPIs

  • Build analytics solutions to help data adoption or increase efficiency, then managing administrative access and support to tools created by the team

  • Build tools (runbooks, schedulers, notebooks, dashboards, etc..) that enable us to scale data quality understanding and measurement, making it highly efficient to scale out data quality analysis across the org

  • Responsible for new data science tooling and methodology integration into existing tools

  • Help define and drive development of an aggressive technical roadmap to meet the needs of the Data team

  • Oversee data scientists who specialize in operating system performance and quality of service KPIs


Knowledge Skills, Abilities

  • Strong understanding of data and information architecture, including experience with unstructured data, big data environments, relational databases, streaming and batch data processing

  • Strong data modeling and technical skills

  • Capability to think strategically, balancing a broad range of internal and external factors when identifying problems, proposing solutions, and making decisions

  • Exceptional collaboration, listening, written and verbal communication skills with ability to facilitate technology requirements with all stakeholders (management, business users, and technology resources)


Minimum Qualifications:

  • Bachelor’s degree in a quantitative field such as math, statistics, and computer science, or equivalent years of experience

  • 10+ years of industry experience working in one or more of the following fields: data engineering, data architecture, software development, or operations engineering

  • Experience managing data science or engineering teams

  • Experience working with SQL (Snowflake, Amazon Redshift, Hive, etc.)  and relational databases (Oracle, MySQL)


Preferred Qualifications

  • Advanced degree in a quantitative field

  • SQL (Snowflake, Amazon Redshift, Hive, etc.) experience and relational databases experience (Oracle, MySQL)

  • Experience in Big Data stack environments (AWS, Hadoop, MapReduce, Hive, etc.)

  • Java and/or Python development experience

  • Demonstrated experience leading complex, strategic, and operational initiatives 

  • Hands on experience with multiple data technologies and processes such as data architecture, data integration, data modeling, MDM and data quality

  • Experience working with virtual and global cross-functional teams


At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at


Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Client-provided location(s): Mountain View, CA, USA
Job ID: 38a019398a5df7633d9e93ed47c03a9c018c472a2f0a212a957dd83bcc2aa490
Employment Type: Other