Data Platform Director

Summary

Join Scribd's team as Director of Data Platform and shape the data engineering function to support the company's growth. You will define and execute a comprehensive data strategy, own the data platform roadmap, lead and mentor a high-performing engineering team, promote engineering excellence, and champion innovation. The role requires 10+ years of experience in data-intensive software development, including 5+ years in senior leadership. Scribd offers a competitive salary, equity ownership, and a comprehensive benefits package including healthcare, paid parental leave, 401k matching, and various other perks. Occasional in-person attendance is required, but Scribd offers flexible work arrangements through Scribd Flex. The position is eligible for a competitive equity ownership and a comprehensive and generous benefits package.

Requirements

• Experience: 10+ years in data-intensive software development, including 5+ years in senior engineering leadership roles
• Leadership: Proven ability to lead teams, mentor engineers, and foster a culture of accountability and success
• Strategic Vision: Skill in setting direction, aligning with executives, and executing effectively
• Collaboration: Excellent communication skills and a history of effective cross-functional teamwork
• Problem-Solving: A proactive mindset with a focus on measurable outcomes
• Technical Expertise: Strong background in building data pipelines and data architectures for complex domains
• Technical Foundation: Hands-on engineering experience at a senior level, ideally Staff+

Responsibilities

• Define Strategy: Partner with the Data & Analytics team and other stakeholders to create and execute a comprehensive data strategy that drives decision-making and product innovation
• Own the Data Platform Roadmap: Develop and maintain a clear roadmap for the Data Platform. Collaborate with teams across Data, Content, and Growth to understand their needs, allocate resources strategically, and deliver impactful results
• Lead the Team: Build and mentor a high-performing engineering team, fostering a culture of excellence and continuous improvement
• Promote Engineering Excellence: Set high standards, technical best practices, and processes to manage complexity and ensure high-quality, reliable solutions
• Champion Innovation: Adopt modern data technologies to keep Scribd at the forefront of data engineering
• Ensure Data Quality and Compliance: Implement governance practices to maintain data quality, accuracy, and security while meeting regulatory standards

Preferred Qualifications

• Experience with Databricks and the larger Spark, Delta Lake ecosystem
• Experience with the medallion architecture and contemporary lakehouse data storage architectures
• Knowledge of streaming platforms like Spark Structured Streaming, Apache Flink, or Apache Beam
• Familiarity with AWS data services (Kinesis, Glue, Athena, etc.)
• Experience working with growth, marketing technology (MarTech), or performance marketing systems to enable data-driven campaigns and analysis
• Understanding of data privacy and compliance standards such as GDPR and CCPA

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