Snowflake Solution Architect

• Architecting and implementing cloud-based data warehousing and analytics solutions using Snowflake and selected major cloud providers (Microsoft, GCP, AWS).
• Defining best practices for data governance, security, performance optimization, and cost efficiency in Snowflake environments.
• Collaborating with cross-functional teams (data engineers, data scientists, and cloud architects) to deliver end-to-end data platform solutions.
• Integrating Snowflake with broader cloud ecosystems, including data lakes, AI/ML frameworks, and visualization tools.
• 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.
• Staying up to date with Snowflake innovations (e.g., Snowpark, Native Apps, Unistore, Cortex) 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.

• Permanent employment contract.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
• Employee Assistance Program – legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care, life insurance.
• Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card).

• Strong hands-on experience with Snowflake, including performance tuning, security setup, data sharing, and automation.
• 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 data lakehouse concepts, API integration, and event-driven architectures.
• Knowledge of data governance, metadata management, and compliance frameworks (e.g., GDPR, HIPAA, SOC2).
• Experience with CI/CD and DevOps practices for data workflows (Git, Terraform, Jenkins, etc.).
• 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 for Python, Streamlit in Snowflake, or Native Apps.
• Familiarity with machine learning or GenAI integration - understanding how to operationalize AI/ML models or leverage LLMs within Snowflake or external services.
• Knowledge of modern data stack tools (e.g., 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 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.