About The Role

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Data Enabler to join our team and help design and evolve large-scale data platforms for a major banking project currently undergoing a data modernization process. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

🚀 What We Do

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

🌟 Our Values

📊 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! 🚀
Responsibilities 🤓

Define and maintain data architecture guidelines: ingestion, transformation, storage, consumption, and governance patterns.
Provide strong, independent judgment in design reviews and architecture decisions across the client's data ecosystem.
Deliberately manage technical debt and uphold high standards for data testing, observability, and CI/CD pipelines.
Act as the trusted technical liaison: translate business needs into technical solutions, and technical decisions into executive-level language.
Identify opportunities to evolve the scope of our services and shape them into technical-commercial proposals.

Required Skills ( Must Haves)💻

7+ years of experience as a PM / Functional Analyst on data or technology projects, ideally in banking, financial, or other highly regulated environments.
Working knowledge of dbt and modern data architecture concepts (ingestion, transformation, storage, consumption) — enough to read designs critically and ask the right questions, not necessarily to build them.
Strong requirements-gathering and documentation skills: able to translate ambiguous business asks into clear functional specs for engineering teams.
Experience facilitating design reviews and architecture discussions, bringing structure and independent judgment even without writing the code.
Familiarity with data governance, testing, and CI/CD practices from a functional/oversight standpoint.
Excellent stakeholder management: comfortable moving between engineering conversations and executive updates.
Ability to spot opportunities for service growth and turn them into technical-commercial proposals.

Required Skills ( Nice to Haves) 💻

Exposure to modern data stack tools (Snowflake, BigQuery, Airflow, Fivetran, etc.) as a user/analyst, not necessarily as a builder.
PM certifications (PMP, Scrum, SAFe) or Business/Functional Analysis certifications (CBAP, IIBA).

🎁 Perks