#12 Data Governance & Platform Lead

Muttdata

Responsibilities

Work with the data governance, architecture, and platform teams, while also understanding the needs of the business.
Actively participate in technical decisions around data catalog, data quality, and data observability.
Bring practical implementation criteria: identify dependencies, propose courses of action, and help drive them forward.
Help resolve technical definitions and unblock progress.
Support the evolution of prioritized data products.

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
Amazon Web Services
Astronomer
Databricks

📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Solid experience as a Data Engineer, Tech Lead, or Data Architect, with the ability to lead technically and coordinate with different teams.
Experience with AWS (priority).
Experience with dbt (priority), the main tool for the data catalog.
Experience going through a data governance implementation cycle, ideally in banking.
Experience leading data governance initiatives or projects (of more than one year), not only using tools as a team member.
Experience implementing tools.
Knowledge of data platforms and of data catalog, data quality, or data observability tools.
Ability to communicate with both technical and functional profiles and to bring a cross-cutting perspective.