Data Architect

About the role

IT Data&Analytics Architecture unit is happy to welcome a new team member. As a Data Architect, you will provide the end-to-end technical vision and hands-on guidance, ensure that data assets, internal and external, are stored, moved, transformed, and exposed in a way that is, secure, governed, cost-efficient, and ready for analytics, AI/ML, and operational workloads. This role is more technically oriented, however you will also interact with the business stakeholders and translates strategy into a data architecture, coach squads on best practices.

What are you going to do?

• Develop and continuously refine the target data-platform architecture, including data lake, data warehouse, and operational data stores aligned with enterprise architecture standards

• Maintain current state and roadmap blueprints that cover storage, processing, metadata, security, and cost optimization

• Help to design and supervise robust, reusable pipelines for ingestion, transformation, and orchestration (Azure Data Factory / Databricks)

• Partner with ML Engineers on Databricks MLflow, feature tables, and model deployment pipelines

• Translate complex data platform topics into business language for non-IT stakeholders

• Create artefacts (roadmaps, OKRs, etc.)

Data Mesh

• Define the concept of "data product" for the Baltic organization in line with the group strategy

• Drive squads to build, publish, and maintain data contracts

• Monitor data contract compatibility and breaking changes

• Liaise data contract with Information Architects on naming, lineage, and business semantics

Technical Leadership

• Embed with development squads as the "data face" of architecture

• Review designs

• Troubleshoot issues

• Coach engineers on patterns and anti-patterns.

• Interact with the Group data architects

What do we expect from you?

Experience with:

• Microsoft Azure: ADLS Gen2, Data Factory, Databricks (incl. Delta Lake & MLflow)

• Relational: SQL Server

• Search/NoSQL: Elasticsearch (index modelling, relevance tuning).

• Programming/Scripting: Python (PySpark, Pandas, etc.) and strong SQL

• DevOps: Git, CI-CD (Azure DevOps or GitHub Actions), Terraform

Architecture Know-How regarding:

• Lakehouse and warehouse patterns; data-mesh/data-product thinking

• Streaming vs batch design; micro-(and swarm-) services

• Data modelling (star/snowflake, event-driven schemas, etc.)

AI/ML Collaboration:

• Feature-store design, ML-ready data curation, model observability, and MLOps principles

Communication & Leadership skills:

• Excellent communication skills (especially in English to communicate with colleagues from different countries)

• Ability to influence across roles—engineers, product managers, executives

• Workshop facilitation, documentation, mentoring, and conflict resolution

Our promise to you:

• Monthly salary: If you are employed in Lithuania €5000 - €6400 gross. If you are employed in Latvia €4500 – €6000 gross. The salary will be determined depending on your qualifications.(*Please note that the specific amount may vary due to different employment taxation in Baltic countries)

• Extra vacation days, annual bonus, great insurance benefits, discounts on our products for you and your family, gifts, etc.

• Strong company culture: knowledge sharing, company events, interesting speakers, and other inspiring initiatives

• Career and development opportunities

• Challenging and exciting projects with autonomy to plan own tasks

• Job location: Vilnius or Riga (flexible hybrid work model, with our office as the main workplace)

• Business trips to the Baltic and Nordic countries

For detailed benefits in Latvia visit: Darbinieku labumi | If.lv

For detailed benefits in Lithuania visit: Naudos darbuotojams. „If“ karjeros galimybės | if.lt ​

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