Snowflake Architect

3 weeks ago

Gurgaon, Haryana, India Angel and Genie Full time

Overview :

We are seeking a highly skilled Snowflake Architect with extensive experience in Snowflake, Azure, and Azure Data Factory (ADF) to join our growing team.

This role will involve designing and implementing large-scale data solutions on the cloud platform, leading the architecture of the data ecosystem, and ensuring high levels of data integration, optimization, and governance.

The ideal candidate will have a deep understanding of Snowflake data warehouse architecture and be ready to work closely with clients to deliver scalable data solutions.

The role requires a leader who can guide teams and manage projects effectively while ensuring seamless integration of data systems across different platforms.

Key Responsibilities :

- Lead the design and architecture of data solutions using Snowflake and Azure technologies.

- Oversee the development and optimization of ETL pipelines using Azure Data Factory (ADF), ensuring smooth data movement, transformation, and integration.

- Architect data workflows and ensure alignment with best practices for data governance, security, and compliance.

- Monitor, troubleshoot, and optimize data pipelines, ensuring performance, scalability, and reliability in Snowflake and Azure environments.

- Work closely with cross-functional teams to design end-to-end data solutions that meet business needs and ensure seamless integration with existing systems.

- Lead data validation efforts and ensure data integrity and quality across multiple systems.

- Collaborate with stakeholders and clients to understand business requirements and deliver innovative solutions in line with project goals and timelines.

- Mentor and provide technical leadership to junior developers and team members, fostering a culture of knowledge sharing and best practices.

- Act as the primary architect for Snowflake solutions, ensuring they are scalable, secure, and perform optimally.

- Travel to client locations as necessary to support project delivery and engage with stakeholders on-site.

Skills and Qualifications :

- 10+ years of hands-on experience in Snowflake architecture, Azure technologies, and data management.

- Deep expertise in Snowflake architecture, data modeling, and data warehousing best practices.

- Extensive experience with Azure Data Services (Azure Data Lake, Azure Synapse Analytics, etc.) and Azure Data Factory (ADF).

- Strong experience in designing and developing ETL processes, ensuring high performance and scalability in cloud environments.

- Proficiency in SQL, data modeling, and working with both structured and semi-structured data.

- Strong understanding of data governance, data privacy, and security in cloud-based solutions.

- Proven ability to solve complex problems and optimize data workflows for large-scale cloud environments.

- Ability to collaborate and communicate effectively with both technical and non-technical teams.

- Bachelor's degree in computer science, Information Technology, or a related field.

- Excellent leadership and mentoring skills, with a proven track record of managing teams and projects successfully.

Preferred Skills :

- Experience with other Azure services such as Azure SQL Database, Power BI, and Azure Synapse Analytics.

- Familiarity with data governance tools, data pipeline orchestration, and advanced data integration techniques.

- Strong expertise in performance tuning and query optimization in Snowflake.

Why Join Us :

- Work with cutting-edge technologies like Snowflake, Azure, and ADF in the cloud data space.

- Opportunity to work on complex, large-scale data projects across diverse industries.

- Collaborative and innovative work environment that encourages continuous learning and professional growth.

- Competitive salary and benefits package.

- Opportunities for career advancement and leadership roles within the organization.

Note :

The candidate must be willing to travel to client locations as part of project delivery and engagement

(ref:hirist.tech)

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