Data Architect/Principal Data Engineer

Key Skills

Apache Kafka, AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data Architecture, Data Modeling, Data science techniques, Databricks, Docker, Framework, Git, Github, Jenkins, JIRA, Looker, Machine learning techniques, PowerBI, Python Programming, Scala Programming, Spark-SQL, Tableau, Terraform, ThoughSpot

Job 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 an organization, we prioritize collaboration and intentional in-person moments to build culture and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location.

What You'll Do:

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. Your expertise will help establish standards for data modeling, integration, processing, and delivery and also help translate business requirements into technical specifications.

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. You'll join a data engineering team tackling complex challenges within a rich domain encompassing three distinct brands – Scribd, Everand, and Slideshare – all serving a massive user base with over 200 million monthly visitors and 2 million paying subscribers. You'll have the opportunity to make a real impact as we are heavily investing in improving our core data layer and this exciting new role puts you right at the forefront of this initiative.

Based on the project, this might involve cross-functional work with the Data Science, Analytics, and other Engineering and Business teams to design cohesive data models, database schemas and data storage solutions, consumption strategies and patterns. Almost everything you will be working on will be to increase the "customer satisfaction" for internal customers of Scribd data.

Required Skills:

• 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.

Desired Skills:

• 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.

At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.

In the state of California, the reasonably expected salary range is between $191,500 [minimum salary in our lowest geographic market within California] to $282,000 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $158,000 [minimum salary in our lowest US geographic market outside of California] to $268,000 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $198,500 CAD[minimum salary in our lowest geographic market] to $267,000 CAD[maximum salary in our highest geographic market].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Benefits, Perks, and Wellbeing at Scribd

Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.

• 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