Must have

• Azure

• Azure Databricks

• SQL

• IAM

• Data Lake

• Kanban

• Python

• English

• Polish

Requirements description

• Master’s degree in Computer Science or related field

• 5+ years of experience in Data Architecture & Engineering

• Experience with business intelligence, data analysis, and reporting in enterprise environments

• Experience in design, development, and implementation of solutions architecture on the Microsoft Azure platform

• Good understanding of data security topics, from networking layer to the end user interface

• Working experience with Azure Databricks (administration and data engineering) and Azure Data Factory

• Good understanding of Azure services (SQL database, administration, IAM, Data Lake)

• Experience with agile project delivery methodologies (Scrum, Kanban)

• SQL/Python programming skills

Soft Skills:

• Hands-on mentality

• Self-managed

• Take end-to-end task ownership

• Excellent communication skills

• Ability to understand business stakeholders and the business landscape

• Ability to challenge decisions made by the platform or other architects

• Strong analytical, organizational, problem-solving, and time-management skills

• Comfortable working in a diverse, complex, and fast-changing landscape of data sources

• Proactive problem solver with innovative thinking and a strong team player

• Fluent in English (C1)

Offer description

SNI is an international outsourcing company collaborating with leading enterprises across multiple countries. At SNI, you’ll work on dynamic projects in areas such as Data, IT, AI, and SAP, supporting some of the world’s most recognized brands. Whether you're driven by cutting-edge technology or strategic problem-solving, we offer roles that match your skills and ambitions. Join us and be part of a team shaping the future of digital transformation.

Your responsibilities

1. Supporting team members with technical issues, platform administration, and access rights.
2. Understanding business targets, challenging choices and roadmaps, prioritizing needs based on technical capabilities, and designing target architectures.
3. Acting as a data and cloud expert, sharing your knowledge with other architects, data engineers/data team members, business stakeholders, and platform experts.
4. Developing data architecture with a solid understanding of data domain, data modeling, quality, and sensitive data protection topics.
5. Documenting technical and architectural specifications and providing architectural advice in collaboration with business analysts.
6. Act as an architect in data projects.

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