Snowflake Data Engineer
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
High value due to strong demand for Snowflake expertise, potential for professional growth in data engineering, and association with a reputable organization like Accenture.
- Strong demand for Snowflake skills in the market
- Opportunity to grow within a global company like Accenture
- Involvement in innovative cloud data projects
- Requires a solid background in data engineering
Pros
- Association with a leading firm (Accenture)
- Opportunity to work with cutting-edge cloud data technologies
- Potential for collaboration across teams, enhancing networking
Cons
- Requires specific and extensive experience (5-10 years)
- Possibly rigid corporate structure depending on the team
- Limited information on salary and benefits may deter applicants
Who it's for
Mid-Level to Senior • In-office / possibility of hybrid
Good fit
- Experienced Snowflake data engineers
- Technical professionals looking to scale in cloud technologies
- Individuals keen on working in a collaborative data environment
Not recommended for
- New graduates or entry-level professionals without relevant experience
- Candidates who prefer non-technical roles
- Job seekers looking for fully remote work without any onsite commitment
Motivation fit
Key skills
About the job
Job Summary
We are seeking a skilled and experienced Snowflake Data Warehouse Developer to design, develop, and maintain our cloud-based data warehousing solutions. You will work closely with data engineers, analysts, and business stakeholders to build scalable and high-performing data models and pipelines using Snowflake. The ideal candidate will have hands-on experience with Snowflake, SQL, ETL/ELT processes, and cloud platforms such as AWS, Azure, or GCP.
Key Responsibilities
- Design, develop, and implement robust Snowflake data warehouse solutions.
- Develop ETL/ELT pipelines to extract, transform, and load data from various sources into Snowflake.
- Create and maintain data models, views, schemas, and stored procedures.
- Collaborate with data analysts and business stakeholders to understand requirements and ensure data accuracy and availability.
- Optimize data warehouse performance including query tuning and resource optimization.
- Implement and enforce data governance, security, and compliance policies.
- Integrate Snowflake with third-party tools (e.g., dbt, Fivetran, Tableau, Power BI).
- Monitor and troubleshoot data workflows and address data quality issues.
