Data Architect

Position overview

We are looking for a Data Architect to help define and build the next generation of a data platform within a large scale modernization project. The project involves transitioning from a monolithic system to a services based architecture. You will play a key role in shaping the current state understanding, target architecture, and data roadmap, working closely with engineering, product, and business stakeholders.

This is a hands on architectural role focused on clarity, structure, and forward looking design rather than legacy maintenance. You will help establish a unified data strategy, improve efficiency, reduce infosec risks, and prepare the foundation for future ML and AI capabilities.

Responsibilities

• Document and validate the as is data architecture, including data flows, storage, pipelines, and integrations.

• Design the target data architecture, with strong consideration for modern lakehouse patterns and scalable cloud native solutions.

• Evaluate current tooling such as DBT, AWS Glue, and PostgreSQL, and recommend improvements or replatforming paths.

• Collaborate with platform engineering to define event driven data ingestion using Kafka and protobuf, and shared compute patterns.

• Contribute to the creation of a data product roadmap, including milestones, dependencies, and architectural priorities.

• Define and promote data standards, terminology, and canonical models across teams.

• Partner with engineering and business subject matter experts to ensure data architecture supports product needs and future ML and AI workflows.

• Provide architectural guidance on security, governance, and access control.

• Produce clear architectural artifacts such as diagrams, models, and documentation for technical and non technical audiences.

• Support the onboarding and transition to a future permanent Data Lead.

Requirements

• Proven experience as a Data Architect, Senior Data Engineer, or similar role in modern cloud environments.

• Strong understanding of data modeling, ETL and ELT, data governance, and distributed data systems.

• Experience with modern data platforms such as Databricks, Snowflake, or equivalent lakehouse or warehouse technologies.

• Familiarity with DBT, AWS Glue, or similar transformation and orchestration tools.

• Experience designing event driven data ingestion using Kafka and streaming pipelines is a strong plus.

• Ability to create clear architectural documentation and communicate complex concepts simply.

• Comfort working in environments undergoing modernization and organizational change.

• Collaborative mindset with the ability to work across engineering, product, and business teams.

• Interest in or exposure to ML and AI workflows, MLflow, or model driven architectures is a plus.

• Exposure to data lakehouse concepts and unified governance layers.

Nice to have

• Experience in organizations transitioning from monolithic to microservices architectures.

• Understanding of infosec considerations in data architecture.

• Ability to influence without authority and guide teams through ambiguity.

What We Offer:

• Vacation days: Up to 26 business days per year.

• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types

• Health and life insurance (Luxmed)

• MyBenefit platform with Multisport option

• Internal psychological support service

• English language classes from the first working day

• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training

• Flexible workplace: work from the office, from home, or choose a hybrid option

• Tech Skills Mentoring Program

• Opportunities to develop as a public speaker, mentor, or technical interviewer

• Fully paid idle (bench) when not involved in a project

• Certification reimbursement (AWS, GCP, Microsoft, etc.)