Principal Data Engineer
Description
OPENTEXT - THE INFORMATION COMPANY
OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.
AI-First. Future-Driven. Human-Centered.
At OpenText, AI is at the heart of everything we do-powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.
Your Impact: We are seeking a seasoned Principal Data Engineer to to guide architecture and product design of our next-generation data platform and data products. The role will be adapted based on your experience, enthusiasm and skills but you'll be defining our technical strategy within a global team. This role is highly influential, shaping the future of AI-driven analytics and ensuring technical excellence across OpenText Business Network business unit. We are interested in recent practical experience working with data warehouse/lake/lakehouse platforms, especially Databricks.
What The Role Offers
- Enthusiastic and supportive team from various backgrounds locally in Tampere and globally in USA, Canada, and India.
- Lend-to-end data product design, including data ingestion, processing pipelines, transformations and definitions.
- Collaborate with product, architecture and engineering leaders to align technical strategy with business goals.
- Establish best practices for data product development, governance, and reliability.
- Define and evolve the architecture for large-scale data and analytics systems.
- Evaluate and integrate AI/ML models for predictive analytics and optimization.
- Mentor engineering teams and foster a culture of technical excellence and innovation.
- Stay abreast of emerging technologies and trends in AI, cloud computing, and supply chain management.
What You Need To Succeed:
- Curiosity and a forward-looking mindset to build great data products.
- Significant data engineering experience, with a few years in an architect or similar senior role.
- Working experience with data platform technologies (like Databricks, Snowflake, Spark) and ability to guide the team with technical direction and best practises.
- Experience in building scalable data products preferably in supply chain or enterprise analytics domains.
- Some expertise in AI/ML technologies.
- Good communication skills with the ability to influence technical direction across teams.
- Experience in AI-assisted development.
Nice To Have:
- Experience with B2B document data (such as EDI)
- K8s, GCP, DBT, IaC, ODPS, ORD
One Last Thing:
OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned.
OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at inquiries@consultant.dev. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.