Remote Snowflake AI & Data Architect | Cloud Analytics

Accenture PLC; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Permanent contract

Professional development

Training package

Employee Assistance Program

Private medical care

Job summary

Accenture PLC in Warsaw seeks a data/AI specialist to architect and deliver cloud-based data platforms and AI-driven data workflows using Snowflake. You will collaborate with data engineers, scientists, and cloud architects to implement end-to-end data solutions across industries.

The role involves modernization projects, open lakehouse integrations, and contributing to pre-sales activities with estimations and proofs of concept. Strong SQL, data modeling, and Python skills are required.

Qualifications

• Strong hands-on experience with Snowflake including performance tuning and security setup.
• Experience designing data platforms on AWS, Azure, or GCP.
• Expertise in SQL, data modeling (3NF, star/snowflake schemas) and ELT/ETL patterns.
• Proficiency in Python for data transformation and orchestration.

Responsibilities

• Architect and implement cloud-based data warehousing and analytics solutions on Snowflake.
• Define data governance, security, and cost optimization best practices.
• Collaborate with data engineers, scientists, AI engineers, and cloud architects to deliver end-to-end platforms.
• Integrate Snowflake with open lakehouses and data visualization tools.
• Advise clients on modernization and AI-assisted development strategies.
• Support pre-sales activities with estimations and proofs of concept.

Skills

Snowflake expertise

SQL

Data modeling

Python scripting

CI/CD

AI-assisted development

Communication

Cross-functional collaboration

Tools

Snowflake

Openflow/Snowpipe

dbt

Terraform

Git/Jenkins

Snowflake CLI

Cortex AI

Job description

Accenture PLC in Warsaw seeks a data/AI specialist to architect and deliver cloud-based data platforms and AI-driven data workflows using Snowflake. You will collaborate with data engineers, scientists, and cloud architects to implement end-to-end data solutions across industries.

The role involves modernization projects, open lakehouse integrations, and contributing to pre-sales activities with estimations and proofs of concept. Strong SQL, data modeling, and Python skills are required.