Snowflake Solution Architect (AI&Data). Data modeling | Apache Iceberg | CoCo

Accenture Polska; Kraków, Wrocław, Poznań, Białystok; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Accenture Polska in Kraków is seeking a senior data architect to architect and implement cloud-based data warehousing, lakehouse, analytics and AI solutions on Snowflake and major cloud providers.

You will define data governance, work with cross-functional teams, integrate Snowflake with lakehouses and AI tooling, and contribute to pre-sales and solutioning with AI-assisted tooling. Flexible hybrid work arrangement.

Qualifications

• Experience designing Snowflake-based data platforms.
• Strong knowledge of cloud data services (Azure, AWS, GCP).
• Ability to architect end-to-end data & analytics solutions.

Responsibilities

• Architect and implement Snowflake-based data warehousing and analytics solutions.
• Define data governance, security, and cost optimization.
• Collaborate with data engineers, data scientists, AI engineers, and cloud architects.
• Integrate Snowflake with lakehouses, Openflow, and AI tools.
• Leverage Snowflake CoCo and Cortex AI to accelerate development.
• Advise on modernization strategies including migration from on-prem to Snowflake-based architectures.
• Support pre-sales and solutioning activities.
• Stay current with Snowflake innovations and industry trends.
• Communicate and document design decisions with stakeholders.

Skills

Snowflake architecture

Cloud data warehousing

Data governance

SQL

Tools

Snowflake

SQL

dbt

Openflow

Cortex AI

Iceberg

Job description

At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

THE WORK

• Architecting and implementing cloud-based data warehousing, lakehouse, analytics and AI solutions on the Snowflake AI Data Cloud and selected major cloud providers (Microsoft, GCP, AWS).
• Defining best practices for data governance, security, performance optimization, and cost efficiency in Snowflake environments, including Horizon Catalog and governed, auditable access for AI agents.
• Collaborating with cross-functional teams (data engineers, data scientists, AI engineers, and cloud architects) to deliver end-to-end data platform and AI solutions.
• Integrating Snowflake with broader cloud ecosystems, including open lakehouses (Apache Iceberg), data integration and streaming services (Openflow, Snowpipe Streaming), AI/ML frameworks, and visualization tools.
• Using Snowflake CoCo, Snowflake’s AI coding agent, to accelerate delivery of SQL, dbt models, pipelines and AI applications, and defining guardrails, reusable skills and review practices for AI-assisted development.
• Designing and delivering AI agents and conversational analytics with Cortex AI (Cortex Agents, Cortex Analyst, Cortex Search) and Snowflake CoWork, grounded in governed semantic views.
• Advising clients on modernization strategies, including migration from legacy on-prem databases to Snowflake-based architectures using AI-assisted migration tooling (e.g., SnowConvert AI).
• Supporting pre-sales and solutioning activities, including estimation, proof-of-concepts, and technology assessments.
• Staying up to date with Snowflake innovations (e.g. CoCo, CoWork, Cortex AI, Semantic Views, Openflow, Apache Iceberg) and industry trends in data and AI.
• Collaborating across all crucial stages of project development with business analysts, source system experts, data architects, engineers, and product owners.
• Proposing and defending effective, consistent solutions that balance strategic development and existing architecture.
• Communicating and documenting work clearly, considering performance and cost factors in design decisions.

Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.