Data Architect

🚀 What We Do

• 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 🤓

• Lead the design and development of data architectures and systems for our customers.
• Lead a Discovery Squad to understand client’s needs, objectives, current data architecture, systems and design potential solutions to implement.
• Define plans and strategies to implement solutions.
• Participate in defining the roadmap, timelines, and estimates for new projects.
• Research new technologies and implement PoCs to solve a wide variety of customer needs.
• Document and spread the internal knowledge of new best-industry practices 
• Building and maintaining Modern Data Architectures.

Required Skills 💻

• Proven work experience as a Data Architect, Lead Data Engineer, Cloud Engineer or similar roles.
• In-depth understanding of database principles (relational such as PostgreSQL and non relational).
• Deep knowledge of Modern Data Architectures including implementation of Data Warehouses and Data Lakes.
• Knowledge of data processing ETL/ELT workflows (eg: Airflow).
• Experiense with distributed technologies like hadoop, hdfs, hiive and Spark (PySpark)
• Solid understanding of Python programming language and one other strongly typed language.
• Knowledge of data modeling.
• Hands-on experience working with cloud based data management and processing services (AWS Athena, S3, Glue, EMR, Google BigQuery, etc).
• Capacity to develop implementation plans weighting pros and cons of different alternatives.
• Ability to interpret and implement customer’s technical requirements
• Experience setting up data processing architectures from scratch.
• Great capacity for teamwork
• Solid command of the English language for writing technical documents such as Design Documents or Architectural Design Records.

Nice to Have Skills 😉

• Experience working with the Modern Data Stack.Teradata certification (Vantage Certified).
• Deep knowledge of software development methodologies.Knowledge of BI tools (Power BI, Tableau, QuickSight).
• Understanding of DevOps principles and implementations (CI/CD, gitops, etc).
• Positive problem-solving attitude
• Excellent communication skills.
• Experience working in client facing tech consultancy roles.
• A proven track record of delivering high quality solutions.
• Certification in cloud platforms (such as AWS Solutions Architect)

🎁 Perks

• Remote-first culture – work from anywhere! 🌍
• AWS & Databricks certifications fully covered 🚀
• Birthday off + an extra vacation week (Mutt Week! 🏖️)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!