Responsibilities
- Lead the Data Engineering team, providing mentorship and developing team members’ competencies
- Design enterprise-scale data processing system architectures
- Define technical standards, best practices, and software development processes
- Collaborate with management in strategic planning and technical roadmap development
- Optimize performance and scalability of data processing systems
- Oversee data infrastructure security and stability
- Build a culture of innovation and continuous improvement within the team
- Actively collaborate with business stakeholders in defining requirements and priorities
Requirements
- Minimum 7 years of experience in data engineering, including 3+ years in leadership positions
- Advanced knowledge of Python and distributed systems architectures
- Deep understanding of cloud technologies (AWS/GCP) and their best practices
- Experience in designing and implementing real-time data processing systems
- Knowledge of modern Big Data technologies (Spark, Kafka, etc.)
- Proven experience in leading complex technical projects
- Excellent communication and leadership skills
- Ability to make technical decisions considering business aspects
- Experience in building and developing technical teams
Bonus point if you:
- Experience in the AdTech/MarTech industry
- Knowledge of Domain Driven Design and Event-Driven Architecture
- Experience in technological transformations
- Technical publications or conference presentations
- Knowledge of agile methodologies and their practical application
Our technology
- Python and JavaScript as primary programming languages
- AWS and GCP as cloud platforms
- Modern Big Data technology stack (Spark, Kafka, Airflow)
- Kubernetes and Docker in production environment
- CI/CD and DevOps practices
Top Skills
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
