InVision is the digital product design platform used to make the world’s best customer experiences. We provide design tools and educational resources for teams to navigate every stage of the product design process, from ideation to development. Today, more than 5 million people use InVision to create a repeatable and streamlined design workflow; rapidly design and prototype products before writing code, and collaborate across their entire organization. That includes 100% of the Fortune 100, and organizations like Airbnb, Amazon, HBO, Netflix, Slack, Starbucks and Uber, who are now able to design better products, faster.  

The Data Engineering team is in search of a Lead Data Engineer to help us build out the next generation of our data platform.

About the Team:

Our team is responsible for architecting, building, and enhancing InVision’s internal data platform, with the sole purpose of accelerating the company's ability to make data-driven decisions across the company. InVision Lead Engineers demonstrate an enthusiasm for their field, a pragmatic decision-making ability, and can lead initiatives. They have a willingness to listen and partner with the business and are at ease working in a remote, collaborative agile environment. The ideal candidate has significant experience in developing scalable data platforms. They must have strong, firsthand technical expertise in a variety of big data technologies and the proven ability to deliver robust solutions within a practical timeframe.

What you’ll do:

• Architect and build technologies, processes, and data flows for many different sets of data at varying cadences
• Provide leadership to other data and infrastructure engineers on the team
• Collaborate cross-functionally with data scientists, business users, product managers, and engineers, to achieve effective data solutions
• Document, implement, and build data pipelines with measurable quality and understandable lineage
• Be a champion of the overall strategy for data governance, security, privacy, quality, and retention that will satisfy business policies and requirements
• Identify, document, and promote best practices
• Maintain and evolve our data platform (data lake, data warehouse, ETL, and BI tools)

What you’ll bring:

• 10+ years of designing, building, and deploying data platforms
• Deep technical hands-on expertise in more than one of the following: Data Warehouse Modernization / Migrations, Data Science, Data Lakes, Data Engineering, Data Applications, Data Pipelines
• Broad range of experience with cloud data warehouse technology, ETL pipelines, and analytics
• Understanding of microservice patterns and architecture
• Comfortable delivering presentations of technical content and peers and executive audiences
• Knowledge of SQL, Python, Go, and/or other scripting languages
• A smart and friendly, can-do attitude, with collaboration and delivery as core values
• Self-direction and the ability to see and understand a large number of challenges, prioritizing them into a set of incrementally achievable goals
• Bias towards action, absolute willingness to own the problem and drive towards a speedy practical solution 
• Ability to dig into the detail but also establishing a strategic point of view  
• Leadership through direct engagement and influence, comfortable building consensus and establishing mutual respect

About InVision:

InVision offers an incredibly unique work environment. The company employs a diverse team all over the world. Each InVision team member is given the freedom and tools to do their best work from wherever they choose.

The benefits we offer in the United States and Canada include competitive health plans and retirement plans. Some InVision-wide benefits offered to all employees across the globe include a flexible vacation policy, monthly coffee shop stipends, annual allowances for books related to your profession, and home office setup & wellness reimbursements. InVision is an international employer so some benefit offerings will vary from country to country.

InVision is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.