Data Solutions Architect for AI

IBM Computing; Wrocław; On-site; PLN 200,000 - 320,000; Full time

Job summary

IBM Consulting in Poland is seeking a seasoned Data Architect to own the end-to-end technical architecture of our data platform, spanning ingestion, transformation, and consumption layers. This hands-on role sits at the intersection of business and engineering, translating evolving requirements into actionable blueprints for engineering teams.

You will govern the modern data stack (Snowflake, dbt Cloud, Azure, Microsoft Fabric, and Python orchestration), ensuring architectural alignment with

Qualifications

• 10+ years in data engineering, analytics engineering, or data architecture roles.
• Deep Snowflake expertise in architecture, performance optimization and security.
• Strong knowledge of dbt Cloud and modern ELT/analytics engineering.
• Hands-on experience with Microsoft Fabric.
• Solid grasp of Azure ecosystem including Blob Storage and integration patterns.

Responsibilities

• Own end-to-end technical architecture of the data platform.
• Provide architectural governance for the modern data stack across Snowflake and Azure investments.

Skills

10+ years data engineering/analytics//

Snowflake architecture & performance

dbt Cloud & ELT/analytics engineering

Microsoft Fabric hands-on

Azure Blob Storage integration

Tools

Snowflake Cortex

dbt Cloud

Azure Blob Storage

Python orchestration

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

We are looking for a Data Architect to own the end-to-end technical architecture of our data platform, spanning ingestion, transformation, and consumption layers. This is a hands‑on architecture role that sits at the intersection of business and engineering: you will translate business requirements — including incomplete or evolving ones — into clear, actionable technical blueprints, and then guide the engineering teams who bring them to life.

You will act as the technical authority for our modern data stack (Snowflake, dbt Cloud, Azure, Microsoft Fabric, and Python-based orchestration), providing architectural governance and ensuring that every new solution component is a strategic fit within the broader platform and our existing Snowflake and Azure investments.

Required technical and professional expertise

• 10+ years of experience in data engineering, analytics engineering, or data architecture roles

• Deep expertise in Snowflake — architecture patterns, performance optimization, security, and platform‑specific features

• Strong understanding of dbt Cloud and modern ELT/analytics engineering principles

• Hands‑on experience with Microsoft Fabric

• Solid grasp of Azure ecosystem, including Azure Blob Storage and related integration patterns

Preferred technical and professional experience

• Hands‑on enough to validate technical decisions in the platform — not just theorize about them

• Ability to produce clear, consumable architectural artifacts — diagrams, decision records, standards documentation

• Experience architecting solutions that span multiple vendors and integration touchpoints

• Exposure to Snowflake Cortex, AI/ML data patterns, and the implications of data design on model performance

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.