Principal Data Engineer - Architect

February 3

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+17 more states

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $158k - $259.5k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Scribd

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Scribd is a digital document library offering access to over 195 million documents across various topics and niches. It serves as a platform for users to discover, upload, and share a diverse array of content, including academic papers, legal documents, manuals, and more. Through a subscription, users can enjoy an ad-free experience and have the ability to download documents for offline use. Scribd also includes access to Everand, which provides millions of ebooks, audiobooks, podcasts, magazines, and sheet music. Additionally, SlideShare within Scribd allows access to millions of community-uploaded presentations and professional documents. With its comprehensive library, Scribd caters to those seeking specialized knowledge and inspiration in nearly every field.

ebooks • publishing • subscription service • books • literary community

201 - 500 employees

Founded 2007

🛍️ eCommerce

📱 Media

☁️ SaaS

💰 $58M Private Equity Round on 2019-11

📋 Description

• At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. • Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. • We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. • Our flexible work benefit - Scribd Flex - enables employees, in partnership with their manager, to choose the daily work-style that best suits their individual needs. • As a pivotal member of the team, you will lead the design and development of a robust data architecture that guides data modeling, integration, processing, and delivery standards enabling modern data product development at Scribd. • You will also serve as a data and analytics solution architect, leading architecture initiatives encompassing data warehousing, data pipeline development, data integrations, and data modeling. • You will shape Scribd’s data strategy, guiding stakeholders in how they consume and act on data. • We’re looking for someone with proven proficiency in architecting, designing and development experience with batch and real time streaming infrastructure and workloads. • At Scribd, we leverage deep data insights to inform every aspect of our business, from product development, experimentation, to understanding our subscriber engagement and tracking key performance indicators.

🎯 Requirements

• 7+ years of experience in data engineering, with a strong background in data architecture, data modeling, and data management, building and scaling robust data systems for complex business domains. • Expertise in Scala or Python, with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect. • Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks. • Experience and working knowledge of streaming platforms, typically based around Kafka. • Strong grasp of AWS data platform services and their strengths/weaknesses. • Hands on experience in implementing data pipelines for data ingestion and transformation to support analytics and ML pipelines • Strong experience communicating asynchronously using collaboration tools like Jira, Slack, etc. • Experience using automation and CI/CD tooling like Git, GitHub,Docker,Jenkins, Terraform, etc. • Experience developing standards for database design and implementation of various strategic data architecture initiatives around data quality, data management policies/standards, data governance, privacy and metadata management • Working experience integrating with BI frameworks like Qlik, ThoughtSpot, Looker, Tableau, etc.

🏖️ Benefits

• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees • 12 weeks paid parental leave • Short-term/long-term disability plans • 401k/RSP matching • Tuition Reimbursement • Learning & Development programs • Quarterly stipend for Wellness, Connectivity & Comfort • Mental Health support & resources • Free subscription to Scribd + gift memberships for friends & family • Referral Bonuses • Book Benefit • Sabbaticals • Company wide events • Team engagement budgets • Vacation & Personal Days • Paid Holidays (+ winter break) • Flexible Sick Time • Volunteer Day • Company-wide Diversity, Equity, & Inclusion programs