Data Architect

Sonalake is a software partnering company that helps our clients realise their product roadmaps. Product design and engineering are at the heart of our business. Our engineering teams work with clients right across the stack; UX, UI design, frontend, backend, analytics, infrastructure, operations - and everything else that goes into delivering great products.

We thrive on variety and are highly adaptable. Our teams are exposed to domains as varied as telecom billing, ad tech, securities-based lending, travel tech analytics, and many more.

Innovation is central to our mission; anticipating future client needs, analysing emerging technologies and developing new products and services.

We are now seeking to grow our Data Engineering and Architecture team. That’s where you come in!

You will

As a Data Architect, you will lead data engineering projects across our product development organization and shape our data stack's technical architecture.

• Data Architecture Design: Develop and implement the overall data architecture, ensuring it aligns with the company’s business objectives and technological goals.
• Database Management: Design, build, and maintain robust, scalable, and high-performance database systems, including both SQL and NoSQL technologies
• Collaboration: Work closely with engineering and product teams. Design and develop the data model and infrastructure for upcoming strategic projects within the product & engineering team of SEON
• Performance Optimization: Monitor and optimize the performance of data systems to ensure efficiency and reliability.
• Documentation: Create and maintain comprehensive documentation for data architecture, systems, and processes.
• Technology Evaluation: Stay current with emerging technologies and industry trends, and evaluate their potential impact on the company’s data architecture.
• Innovation: Promote the adoption of emerging and relevant approaches to solving ML and AI problems and empower engineering teams to embrace pragmatic approaches to evaluating multiple solutions.

You may be a fit for this role if you

• 5+ years of experience in data engineering and modeling
• 8-10 years of experience taking on progressively more responsibility and increasing complexity in a software engineering team
• Software engineering experience across the entire lifecycle of application development
• Experience with data governance and compliance regulations (e.g., GDPR, CCPA) preferred
• Expert proficiency in SQL
• Comprehensive technical expertise in a variety of data engineering, modeling, and business intelligence applications, such as PostgreSQL, Clickhouse, Elasticsearch, SnowFlake, or comparable technologies
• Proficiency in NoSQL databases, such as MongoDB, Redis, or similar technologies
• Demonstrated experience with at least one major cloud provider (AWS preferred)
• Knowledge of modern DevOps technologies, such as Terraform, ELK stack, Prometheus, etc.
• Technical expertise with the building blocks of a modern data stack, such as Prefect, AWS Glue, Iceberg, MLflow, dbt, Snowflake, and others
• Demonstrated history of managing high-impact machine learning and engineering projects, preferably in a SaaS startup/scaleup environment.
• Experience with distributed system design, system scaling, and performance optimization.
• Practical experience implementing machine learning models & GenAI for predictive business outcomes.
• Strong communication and collaboration skills across multiple levels, from detailed technical designs with engineering to broad product initiatives with key business stakeholders

What's in it for you?

• Remote-first approach with many team-building activities. You can work from our offices in Dublin, Poznan or Bratislava, or work on a fully remote or hybrid basis. We believe in a healthy work-life balance;
• Every Sonalaker gets a training budget and paid training days every year to upskill. This covers courses, training, books or conferences;
• We’ve a flat organisational structure with an emphasis on open, honest communication. There are no siloes, no hierarchies and no barriers;
• We focus on innovation: we run projects to evaluate new frameworks, create tools for internal use, contribute to the open source community and research new ways to use existing products in new problem domains;
• Indefinite period employment contract.

We take pride in being a people-oriented company. Openness and opportunity are really important to us. We build teams that span from experienced leaders to bright graduates and work to develop all of us within our coaching culture.