Accenture

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

Warsaw, Sienna 39

Actively hiring, first seen by us today

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Architect and implement Snowflake data warehousing, lakehouse and AI solutions
Define best practices for governance, security, performance and cost in Snowflake
Design and deliver AI agents and conversational analytics with Cortex AI
Advise clients on migrating legacy on-prem databases to Snowflake
Support pre-sales, estimation, proofs-of-concept and technology assessments

From the employer’s posting

Architecting and implementing cloud-based data warehousing, lakehouse, analytics and AI solutions on the Snowflake AI Data Cloud

Defining best practices for data governance, security, performance optimization, and cost efficiency in Snowflake environments

Designing and delivering AI agents and conversational analytics with Cortex AI (Cortex Agents, Cortex Analyst, Cortex Search)

Advising clients on modernization strategies, including migration from legacy on-prem databases to Snowflake-based architectures

Supporting pre-sales and solutioning activities, including estimation, proof-of-concepts, and technology assessments.

About Accenture

We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

In the employer’s words · Read in context

Apply at Accenture

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 2026today
Recorded sightings: 2
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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See how this role fits your experience

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Python
SQL
AWS
Azure
Databricks
dbt
Fivetran
GCP
Iceberg
Looker
Power BI
Snowflake
Tableau
Terraform
Streamlit

Where the posting names them

- Expertise in SQL, data modeling (3NF, star/snowflake schemas), and ELT/ETL design patterns. - Proficiency in Python or similar scripting languages for data transformation, orchestration, and automation. - Deep understanding of cloud data architecture principles, including open data lakehouse concepts (Apache Iceberg), API integration, and event-driven architectures.

- 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.

- Proven experience in designing and implementing data platforms in at least one major cloud provider (AWS, Azure, or GCP). - Expertise in SQL, data modeling (3NF, star/snowflake schemas), and ELT/ETL design patterns. - Proficiency in Python or similar scripting languages for data transformation, orchestration, and automation.

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.

- Strong hands-on experience with Snowflake, including performance tuning, security setup, data sharing, and automation (e.g., Dynamic Tables, Streams and Tasks). - Proven experience in designing and implementing data platforms in at least one major cloud provider (AWS, Azure, or GCP). - Expertise in SQL, data modeling (3NF, star/snowflake schemas), and ELT/ETL design patterns.

- Snowflake SnowPro Core, SnowPro Specialty (e.g. Gen AI) or SnowPro Advanced series certifications. - Azure, GCP, AWS proprietary certifications. Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

- Experience designing semantic layers for AI and BI (e.g., Snowflake Semantic Views, Open Semantic Interchange). - Knowledge of modern data stack tools (e.g., dbt, Fivetran, Stitch, Databricks, Dataiku, Power BI, Tableau, Looker). - Exposure to data mesh or data fabric architectures.

- Knowledge of data governance, metadata management, and compliance frameworks (e.g., GDPR, HIPAA, SOC2, EU AI Act). - Experience with CI/CD and DevOps practices for data workflows (Git, dbt, Snowflake CLI, Terraform, Jenkins, etc.). - Practical experience with AI-assisted development (e.g., Snowflake CoCo, Claude Code, GitHub Copilot) and the judgement to review and validate AI-generated code.

BONUS POINTS IF YOU HAVE: - Experience with Snowflake advanced features such as Snowpark, Streamlit in Snowflake, Native Apps, Snowpark Container Services, Dynamic Tables or dbt Projects on Snowflake. - Familiarity with machine learning or GenAI integration - understanding how to operationalize AI/ML models or leverage LLMs within Snowflake (Snowflake ML, Cortex AI Functions, Cortex Agents) or external services.

- 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.

- 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.

- Proficiency in Python or similar scripting languages for data transformation, orchestration, and automation. - Deep understanding of cloud data architecture principles, including open data lakehouse concepts (Apache Iceberg), API integration, and event-driven architectures. - Knowledge of data governance, metadata management, and compliance frameworks (e.g., GDPR, HIPAA, SOC2, EU AI Act).

- 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.

- 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).

- 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.

HERE’S WHAT YOU’LL NEED: - Strong hands-on experience with Snowflake, including performance tuning, security setup, data sharing, and automation (e.g., Dynamic Tables, Streams and Tasks). - Proven experience in designing and implementing data platforms in at least one major cloud provider (AWS, Azure, or GCP).

- Experience with CI/CD and DevOps practices for data workflows (Git, dbt, Snowflake CLI, Terraform, Jenkins, etc.). - Practical experience with AI-assisted development (e.g., Snowflake CoCo, Claude Code, GitHub Copilot) and the judgement to review and validate AI-generated code. - Excellent communication and client-facing skills with the ability to translate business needs into technical solutions.

- Experience with Snowflake advanced features such as Snowpark, Streamlit in Snowflake, Native Apps, Snowpark Container Services, Dynamic Tables or dbt Projects on Snowflake. - Familiarity with machine learning or GenAI integration - understanding how to operationalize AI/ML models or leverage LLMs within Snowflake (Snowflake ML, Cortex AI Functions, Cortex Agents) or external services. - Hands-on experience with Snowflake CoCo (formerly Cortex Code) or Snowflake CoWork, e.g., building, sharing and governing reusable agent skills.

- Familiarity with machine learning or GenAI integration - understanding how to operationalize AI/ML models or leverage LLMs within Snowflake (Snowflake ML, Cortex AI Functions, Cortex Agents) or external services. - Hands-on experience with Snowflake CoCo (formerly Cortex Code) or Snowflake CoWork, e.g., building, sharing and governing reusable agent skills. - Experience designing semantic layers for AI and BI (e.g., Snowflake Semantic Views, Open Semantic Interchange).

- Hands-on experience with Snowflake CoCo (formerly Cortex Code) or Snowflake CoWork, e.g., building, sharing and governing reusable agent skills. - Experience designing semantic layers for AI and BI (e.g., Snowflake Semantic Views, Open Semantic Interchange). - Knowledge of modern data stack tools (e.g., dbt, Fivetran, Stitch, Databricks, Dataiku, Power BI, Tableau, Looker).

- Experience leading data modernization programs in large enterprise environments. - Snowflake SnowPro Core, SnowPro Specialty (e.g. Gen AI) or SnowPro Advanced series certifications. - Azure, GCP, AWS proprietary certifications.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

WHO WE ARE

Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services.

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.

WHAT’S IN IT FOR YOU?

Work on cloud migration and large-scale data platform and agentic AI projects across industries such as consumer goods, finance, pharma and more.

Thrive on continuous advancement by engaging in diverse, complex solution and data architecture challenges.

Expand your skills set through collaboration with experts and exposure to modern concepts and architectures (data mesh, data virtualisation, agentic AI, AI-assisted engineering with CoCo and more).

HERE’S WHAT YOU’LL NEED:

Strong hands-on experience with Snowflake, including performance tuning, security setup, data sharing, and automation (e.g., Dynamic Tables, Streams and Tasks).
Proven experience in designing and implementing data platforms in at least one major cloud provider (AWS, Azure, or GCP).
Expertise in SQL, data modeling (3NF, star/snowflake schemas), and ELT/ETL design patterns.
Proficiency in Python or similar scripting languages for data transformation, orchestration, and automation.
Deep understanding of cloud data architecture principles, including open data lakehouse concepts (Apache Iceberg), API integration, and event-driven architectures.
Knowledge of data governance, metadata management, and compliance frameworks (e.g., GDPR, HIPAA, SOC2, EU AI Act).
Experience with CI/CD and DevOps practices for data workflows (Git, dbt, Snowflake CLI, Terraform, Jenkins, etc.).
Practical experience with AI-assisted development (e.g., Snowflake CoCo, Claude Code, GitHub Copilot) and the judgement to review and validate AI-generated code.
Excellent communication and client-facing skills with the ability to translate business needs into technical solutions.
Proven ability to work collaboratively across multidisciplinary teams.

BONUS POINTS IF YOU HAVE:
Experience with Snowflake advanced features such as Snowpark, Streamlit in Snowflake, Native Apps, Snowpark Container Services, Dynamic Tables or dbt Projects on Snowflake.
Familiarity with machine learning or GenAI integration - understanding how to operationalize AI/ML models or leverage LLMs within Snowflake (Snowflake ML, Cortex AI Functions, Cortex Agents) or external services.
Hands-on experience with Snowflake CoCo (formerly Cortex Code) or Snowflake CoWork, e.g., building, sharing and governing reusable agent skills.
Experience designing semantic layers for AI and BI (e.g., Snowflake Semantic Views, Open Semantic Interchange).
Knowledge of modern data stack tools (e.g., dbt, Fivetran, Stitch, Databricks, Dataiku, Power BI, Tableau, Looker).
Exposure to data mesh or data fabric architectures.
Understanding of cost optimization and FinOps principles for data solutions.
Experience leading data modernization programs in large enterprise environments.
Snowflake SnowPro Core, SnowPro Specialty (e.g. Gen AI) or SnowPro Advanced series certifications.
Azure, GCP, AWS proprietary certifications.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

WHAT WE OFFER?

A permanent employment contract
Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses and certifications
Employee Assistance Program offering legal, financial and psychological consultations
Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends
Paid employee referral program
Private medical care and life insurance
Access to the Worksmile benefits platform (including the Multisport card)

WHAT WE BELIEVE:

Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with. Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy

#LI-EU

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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