Job Description
Job Description
JOB DESCRIPTION
- 10 + years experience
- We are seeking an experienced snowflake architect to lead the design, implementation, and optimization of snowflake data platform.
- The ideal candidate will be responsible for crafting robust, scalable data architecture solutions that support advanced analytics, data warehousing and real time data processing initiatives across the enterprise.
Key Responsibilities:
- Exceptional communication and presentation skills, capable of explaining technical concepts to technical and non-technical stakeholders
- A self-starter with a growth mindset and the ability to adapt in a fast-paced environment
- Strong interpersonal skills to foster collaboration with diverse teams
- Architect and implement scalable, secure, and high-performance data solutions on Snowflake platform
- Understand business challenges, data requirements and current technology ecosystems
- Develop and Enforce data architecture best practices including data modeling, ELT/ETL pipelines and data governance
- Understand the concepts of data marts and its usage across enterprise
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Design end-to-end pipelines, ensuring seamless integration with snowflake
- Optimize snowflake solutions for cost efficiency, performance, and reliability
- Lead technical engagements, collaborating with internal teams and client stakeholders
- Guide data engineers, analyst, and developers in implementing best practices on snowflake
- Establish and enforce governance, security, and compliance standards within snowflake environments
- 5+ years of experience in data architecture or data engineering roles
- At least 3 years of hands-on experience with snowflake.
- Proven track record of designing and implementing large-scale data solutions across industries
- Experience working in consulting or client facing roles, particularly with D&A or enterprise customers
- Deep understanding of modern data architecture principles, including cloud platform AWS
- Expert knowledge of snowflake architecture, including data sharing, performance optimization and data security
- Experience integrating snowflake with BI/Visualization platform like Tableau or Business Objects or Crystal Reports
- Hands on experience with data modeling, schema design and ELT pipeline development
- Understanding of cloud-native services for data ingestion, transformation, and orchestration (e.g., AWS services)
- Collaborate with security and infrastructure teams to integrate snowflake with SIEM solution for real-time monitoring, alerting and compliance reporting
- Experience integrating snowflake with SIEM platforms such as AWS
- Experienced design data pipelines that securely ingest security logs and audit data from snowflake into centralized SIEM platforms
- Experience in designing high performance data extraction process using Teradata to snowflake
- Experience in leverage amazon S3 as an intermediate staging layer for seamless data transfer and scalability