Overview As Senior Engineering Manager, you lead the Social Engineering team to build deep integrations with major social platforms that measure ad performance. You will guide scalable, reliable, real-time systems and collaborate with engineers from large internet companies on API development. You own strategic initiatives and drive architectural decisions aligned with DV's goals. You'll shape how DV scales its Social products while mentoring engineers and improving SDLC practices. This is a mission-critical leadership role at a data-intensive scale.
Responsibilities- Lead a high-performing engineering team building large-scale distributed services for Social products
- Deliver complex projects and APIs with iterative, business-value frontloading
- Oversee end-to-end integrations with social platforms and align with DV goals
- Own strategic initiatives advancing DV Engineering
- Define processes to support growth and execution of a diverse team
- Contribute to architectural decisions driven by product and business needs
- Explore Big Data technologies and landscape for continuous improvement
- Provide technical guidance through design reviews, pair-programming, and coaching
- Engage with executive stakeholders and translate technical concepts for business leaders
- Recruit, onboard, and grow engineers and team leaders within Social Integrations
- Optimize SDLC processes, including CI/CD
- Operate production environments, investigate issues, and implement solutions
- Collaborate in cross-functional agile teams with end-to-end product responsibility
Key requirements- Lead by example; design and deliver quality solutions
- Passion for building and operating mission-critical data-intensive systems
- Architectural and design capabilities for complex software systems
- Strong understanding of distributed systems, standards, and protocols
- Desire to automate decision-making, processes, and workflows
- Experience implementing state-of-the-art SDLC processes
- Fluent in SQL and data analysis
- 9+ years of Python programming
- 3+ years in big data systems (BigQuery, Airflow, data pipelines at scale)
- 3+ years in leadership roles
- Experience with DevOps: Docker, Kubernetes
- Mentoring and growing diverse data engineering teams
- BS/MS in Computer Science or related field
- Excellent communication and teamwork
- 1+ year in Online Advertising technology (preferred)
- dbt and BigQuery expertise (preferred)
- excellent communication
- team player
- stakeholder management
- Python
- SQL
- BigQuery
