Snowflake Architect

Title: Snowflake Architect
Location: Coppel, TX

Experience:12+ years
Locals Required

Job Description:
Architectural Design: Architect secure, scalable, highly performant data engineering and management solutions, including data warehouses, data lake, ELT / ETL and real-time data engineering / pipeline solutions. Support Principal Data Architect in defining and maintaining reference data engineering and data management architectures.
Snowflake Implementation: Design and manage scalable end-to-end data solutions leveraging native Snowflake workloads including : Data Engineering; Data Lake; Data Warehouse; Applications; Unistore; AI/ML; Governed Collaboration, Marketplace, Streamlit.
Hyperscaler Design: Competently leverage data-related cloud platform (AWS or Azure) capabilities to architect and develop end-to-end data engineering and data management solutions.
Client Engagement: Regular collaboration and partnership with clients to understand their challenges and needs then translate requirements into data solutions that drive customer value. Support proposal development.
Data Modeling: Create and maintain conceptual, logical, and physical data models that support both transactional and analytical needs. Ensure data models are optimized for performance and scalability.
Creativity: Be an out-of-the-box thinker and passionate about applying your skills to new and existing solutions alike while always demonstrating a customer-first mentality.

12+ years hands-on data solution architecture and implementation experience on modern cloud platforms (AWS preferred) including microservice and event-driven architectures.
Medalion Architecture Implementation experience
Snowflake SnowPro Advanced Architect certification Preferred.
An architectural certification on either AWS, Azure or Google Cloud Platform.
Hands-on experience with Snowflake capabilities including Snowpipe, Snowpark, Cortex, Polaris Catalog, native applications, Notebooks, Horizon, Marketplace, Streamlit.
Practical experience with end-to-end data engineering and data management supporting functions including data modeling (conceptual, logical & physical), BI & analytics, data governance, data quality, data security / privacy / compliance, IAM, performance optimization.
Advanced SQL and data profiling.
Python, Scala or Java.
Strong communication skills with the ability to convey technical concepts to non-technical users.
Strong, self-management skills demonstrating ability to multitask and self-manage goals and activities.

Education:
Master or Bachelor (CS, IT, Applied Mathematics or demonstrated experience)

Certifications:
Snowflake SnowPro Advanced Data Engineer certification
Snowflake SnowPro Advanced Data Scientist certification
Snowflake SnowPro Advanced Administrator certification
Snowflake SnowPro Advanced Data Analyst certification