Define reference data architecture, standards, and patterns for ingestion and storage on AWS. Design and implement dbt models and Airflow pipelines while collaborating with stakeholders to align technical decisions.
π Join Our Data Products and Machine Learning Development Remote Startup! π
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
Weβre looking for a Cloud Data Architect 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, weβd love to connect! πΆπ
In this role, you will join a Data Architecture team responsible for defining standards, patterns, and best practices that guide multiple data engineering teams building modern data products on AWS.
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π 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.
π Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
π Our Values
- π We are Data Nerds
- π€ We are Open Team Players
- π We Take Ownership
- π We Have a Positive Mindset
π Curious about what weβre up to? Check out
our case studies and dive into our
blog post to learn more about our culture and the exciting projects weβre working on! π
Responsibilities π€
- Participate in defining the reference data architecture, including ingestion, transformation, storage, and consumption patterns on AWS.
- Collaborate in establishing standards for data modeling, naming conventions, lineage, data quality, and technical documentation.
- Design and implement dbt models and Airflow pipelines supporting analytical workloads on Redshift.
- Design and implement data testing and quality strategies using dbt tests and tools such as Elementary Data.
- Actively participate in architecture discussions, design reviews, and technical decision-making across the data ecosystem.
- Collaborate with engineering teams to ensure consistent adoption of architecture standards and best practices.
- Work closely with business and technology stakeholders to align technical decisions in complex organizational environments.
Required Skills π»
- Experience working on production data platforms at scale.
- Experience working in banking, financial services, or large enterprises with comparable organizational complexity.
- Strong ability to design architectures and propose solutions to complex data problems, not just execute implementations.
- Hands-on experience with: dbt, Airflow, Amazon Redshift, Amazon S3 and SQL.
- Experience implementing data testing and observability practices (dbt test, Elementary Data, Great Expectations or similar).
- Strong communication skills and the ability to collaborate with multiple stakeholders and technical teams.
π Perks
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! ποΈ)
- Referral bonuses β help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- βοΈποΈ Annual Mutters' Trip β an unforgettable getaway with the team!
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