
About TribalScale
Empowering enterprises for the digital age
Key Highlights
- Raised $81 million in funding since 2015
- Notable clients include Emirates and N
- Headquartered in Toronto, ON with 21-100 employees
- Offers flexible work schedules and paid parental leave
TribalScale, headquartered in Toronto, ON, specializes in digital product solutions for enterprises, helping them adapt in the digital era. Founded in 2015, TribalScale has raised $81 million in funding and has notable clients including Emirates and N. The company focuses on strategy, design, and de...
π Benefits
TribalScale offers a range of benefits including paid parental leave, health insurance (medical, dental, vision), and subsidized online therapy sessio...
π Culture
TribalScale fosters a culture of empowerment and innovation, focusing on supporting startups and established businesses alike. The company emphasizes ...

Other Technical Roles
TribalScale β’ Toronto - Hybrid
Skills & Technologies
Overview
TribalScale is seeking an Adobe Real Time Customer Data Platform Expert to drive digital transformation and innovation. You'll work with cutting-edge AI technologies and Agile methodologies in a hybrid environment based in Toronto.
Job Description
Who you are
You thrive in challenging environments where innovation is key. Your passion for technology is matched only by your drive to redefine its limits. You seek more than a job; you seek a callingβa chance to make a lasting impact on the digital landscape. You are good with API calls and have experience working with Postman, making you an ideal candidate for this role.
What you'll do
As an Adobe Real Time Customer Data Platform Expert, you will shape the future of digital transformation at TribalScale. You will leverage your expertise to transform traditional business models into agile, AI-powered ecosystems. Your role will involve collaborating with strategic visionaries and product virtuosos to create world-class digital solutions that propel enterprises into the future. You will be responsible for optimizing code and refining digital systems, ensuring that our technological toolkit remains at the forefront of innovation.
What we offer
At TribalScale, we offer a hybrid work environment that allows you to collaborate with a diverse team across the Americas. You will be part of a mission-driven organization that values inclusivity and encourages applications from individuals of all abilities. We are committed to adapting our processes to ensure your comfort and success in this role.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at TribalScale.
Similar Jobs You Might Like
Based on your interests and this role

Software Engineering
Lyft is seeking a Software Engineer to join their Streaming Compute Team, focusing on designing and maintaining data-intensive systems. You'll work with technologies like Apache Flink and Kafka to enhance the data platform. This role requires a strong background in software development and problem-solving skills.

Data Engineer
Spotify is hiring a Mid-Level Data Engineer to build data-driven engineering initiatives within the Platform Central Data squad. You'll design reliable datasets and workflow automations, leveraging skills in SQL and Python.

Data Engineer
Robinhood is hiring a Data Engineer to build and maintain foundational datasets that power decision-making across the company. You'll work with SQL, Python, and AWS to support analytics and machine learning initiatives. This role requires experience in data engineering and a collaborative mindset.

Software Engineering
Lyft is hiring a Senior Software Engineer for their Data Platforms team to design and maintain low latency and high throughput systems. You'll work with technologies like Apache Flink and Apache Beam, focusing on critical business needs. This role requires experience with near-real-time streaming systems.

Data Engineer
Lyft is hiring a Senior Data Engineer to lead the design and development of critical data systems and pipelines. You'll work with technologies like Airflow, AWS, and BigQuery to ensure high-quality data management. This role requires significant experience in data engineering and collaboration with cross-functional teams.