Chief Data Architect

4 dni temu

Warszawa, Polska On The Spot Development Pełny etat
About the Role

As a key member of our team, you will be responsible for designing and implementing large-scale data engineering solutions that drive business growth and profitability.

Job Summary
  • Lead a team of data engineers in building and maintaining optimal data pipeline architecture and solutions.
  • Create and maintain scalable data infrastructure using cloud-based services such as Amazon Redshift and other data warehouses.
  • Develop AI models using techniques such as supervised, unsupervised, reinforcement learning, and transfer learning.
  • Stay at the forefront of AI and machine learning research to ensure our solutions are cutting-edge.
Responsibilities

We're looking for an experienced data engineering leader who can:

  • Create and implement data tools for analytics and data science teams to build and optimize products.
  • Design robust AI system architectures that can scale across large datasets and complex workflows.
  • Implement best practices for deploying AI models into production environments.
  • Experiment with new algorithms, frameworks, and tools to keep our work cutting-edge.
Requirements

To be successful in this role, you'll need:

  • 8+ years of experience in data engineering and/or cloud/web engineering.
  • 5+ years of experience in leading teams and communicating directly with clients.
  • Proficiency with cloud ETL tools such as AWS Glue and Azure Data Factory (ADF) for building data pipelines and orchestrating workflows.
  • Hands-on experience with DBT for data transformation and modeling.
  • Solid understanding of data modeling techniques and best practices.
  • Expertise in SQL for querying and manipulating large datasets.
  • Experience building, maintaining, and optimizing data pipelines and overall data platform.
  • Experience with data orchestration frameworks and tools such as AWS Lambda, Cloud Functions, and schedulers such as Airflow.
  • Knowledge of at least one popular programming language used for statistical analysis, such as Python and R.
  • Experience working with Data Lakes, Data Warehouses, and Data Mesh.
  • Experience with cloud-based infrastructure providers such as Amazon AWS, Microsoft Azure, or Google Cloud Platform.
Desired Skills

You'll also have:

  • Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and deep learning techniques.
  • Strong programming skills in Python, TensorFlow, PyTorch, Scikit, Pandas, and other AI/ML and data science frameworks.
  • Deep understanding of machine learning algorithms, data structures, and data processing techniques.
  • Hands-on experience deploying AI/ML models into production environments.
What We Offer

We provide a highly professional team environment, informal yet friendly atmosphere, ability to work from our downtown office, paid vacation time, 100% sick leave payment, and other benefits.

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