Remote Data Architect

Description:

• As a Data Architect at Sonalake, you will be responsible for leading data engineering projects and shaping the technical architecture of the data stack.
• Your role will involve designing and implementing the overall data architecture to align with the company's business objectives and technological goals.
• You will be in charge of building and maintaining robust, scalable, and high-performance database systems using both SQL and NoSQL technologies.
• Collaboration with engineering and product teams to design and develop data models and infrastructure for strategic projects will be a key aspect of your role.
• Monitoring and optimizing the performance of data systems to ensure efficiency and reliability will be part of your responsibilities.
• Creating and maintaining comprehensive documentation for data architecture, systems, and processes will be essential.
• Staying current with emerging technologies and industry trends to evaluate their potential impact on the company's data architecture will be expected.
• Promoting the adoption of emerging approaches to solving ML and AI problems and empowering engineering teams to evaluate multiple solutions will be a focus area.

Requirements:

• 5+ years of experience in data engineering and modeling.
• 8-10 years of experience in software engineering with increasing complexity in a software engineering team.
• Proficiency in SQL and experience with data governance and compliance regulations preferred.
• Technical expertise in data engineering, modeling, and business intelligence applications like PostgreSQL, Clickhouse, Elasticsearch, SnowFlake, or similar technologies.
• Proficiency in NoSQL databases such as MongoDB, Redis, or similar technologies.
• Experience with at least one major cloud provider (AWS preferred) and knowledge of modern DevOps technologies.
• Familiarity with modern data stack building blocks like Prefect, AWS Glue, Iceberg, MLflow, dbt, Snowflake, and others.
• Experience managing high-impact machine learning and engineering projects, preferably in a SaaS startup/scaleup environment.
• Practical experience in implementing machine learning models and GenAI for predictive business outcomes.
• Strong communication and collaboration skills across technical designs and product initiatives.

Benefits:

• Remote-first approach with the option to work from offices in Dublin, Poznan, or Bratislava, or fully remote/hybrid basis.
• Training budget and paid training days every year for upskilling through courses, training, books, or conferences.
• Flat organizational structure with open, honest communication and no siloes or hierarchies.
• Focus on innovation with projects to evaluate new frameworks, contribute to the open-source community, and research new ways to use existing products.
• Indefinite period employment contract.
• People-oriented company with a coaching culture that spans from experienced leaders to bright graduates, focusing on development and growth for all team members.