Who you are

- 10+ years of experience in Data Engineering, Data Platform, or related data roles

- 3+ years leading engineering teams, including coaching, performance management, and organizational development

- Deep expertise building scalable data platforms and production-grade data pipelines

- Strong experience with dimensional modeling, data architecture, and designing reusable analytical datasets

- Advanced SQL skills and strong experience with Python, Scala, or similar programming languages

- Experience with distributed data processing frameworks such as Spark

- Experience working with modern cloud data platforms such as Databricks, Delta Lake, Snowflake, or BigQuery

- Proven experience driving complex cross-functional initiatives from concept through production

- Experience leading technical architecture discussions and engineering design reviews

- Robust technical judgment and the ability to balance pragmatic delivery with long-term architectural thinking

- Excellent communication skills and experience influencing technical decisions across multiple engineering teams

- Experience with Databricks and Delta Lake

- Experience building modern data platforms and Medallion-style architectures

- Experience with data governance, lineage, or metadata management

- Experience supporting AI, ML, or analytics workloads through high-quality data foundations

- Experience working in subscription, payments, or consumer product domains

What the job involves

- Scribd, Inc.'s Data Platform team builds the data pipelines, storage layers, and developer tooling that power analytics, experimentation, ML, and product features across Scribd, Everand, and Slideshare. We’re in the middle of a multi-year investment to modernize our data architecture, with a strong focus on building well-modeled, governed,



and trusted data that teams across the company can rely on

- At Scribd, Inc., data drives everything—from product decisions and experimentation to understanding subscriber behavior and key business metrics. This role sits at the center of that effort and will play a critical part in shaping how data is structured, governed, and leveraged across the organization — including enabling trusted, well-governed data foundations for analytics and emerging AI-driven experiences

- As a Senior Manager, Data Engineering, you'll lead a team responsible for building trusted, reusable data products that power analytics, experimentation, AI, and decision-making across Scribd, Inc

- This role combines technical leadership, engineering management, and execution leadership. You'll remain close to the technical work by guiding architecture, reviewing designs, and contributing hands-on where your expertise creates the greatest leverage

- You'll establish engineering standards, guide architecture and design decisions, partner closely with stakeholders across the business, and help build a high-performing team that delivers trusted, reusable data products

- You'll work closely with our Principal Data Engineer, who leads the technical direction of our Platform Engineering function, while partnering with the Director of Data Platform on long-term strategy, organizational planning, and cross-functional priorities

- Provide technical, delivery,



and people leadership for the Data Engineering team responsible for building data pipelines, trusted Medallion datasets, and reusable data products

- Establish engineering standards for data modeling, pipeline design, reliability, observability, and operational excellence

- Drive architecture discussions and design reviews, helping engineers make thoughtful technical decisions

- Lead execution across multiple concurrent initiatives by bringing clarity to ambiguous problems, partnering with technical leads to prioritize work, manage dependencies, and deliver predictable outcomes

- Coach, mentor, and grow a team of Data Engineers, fostering a culture of ownership, collaboration, and continuous improvement

- Partner closely with Product, Analytics, Data Science, and Engineering teams to translate business needs into scalable data solutions

- Build strong cross-functional relationships while balancing short-term delivery with long-term investments in reusable data foundations

- Collaborate closely with Data Platform Engineering to influence and evolve the platform capabilities that enable scalable data development across Scribd

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

📌 Senior Manager of Data Engineering (Toronto)
🏢 Scribd
📍 Toronto