Job Description

Snowflake Sr. Engineer

Customer : Brinks

Location/ Work Mode: Coppell TX , working from office -3 days in a week Tuesday / Wednesday / Thursday

Job Type: Contract

Duration : 3 months subject to extension

Interview Process-- Recruitment Prescreening- 20 minutes intro videocall, Trianz Technical 30 -45 minutes video call, Customer call 45- 60 minutes video call.

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 GCP.
• Hands-on experience with Snowflake capabilities including Snowpipe, Snowpark, Cortex, Polaris Catalog, native applications, Notebooks, Horizon, Marketplace, Streamlit.

About the Role

As a Snowflake Data Architect, you are core to the client's Cloud Platform initiative's success. You are accountable for defining and delivering best-in-class Snowflake data management solutions and AI across all major cloud platforms.

What You'll Be Doing:

• 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.

Why Join Us:

• Be part of a rapidly rising, global technology innovator whose platforms and services are engaged by Fortune 1000 companies and industry leaders such as Microsoft & Amazon.
• Immerse yourself in a culture where creativity is celebrated and encouraged.
• Engage in thrilling projects and opportunities for your professional growth.
• Contribute to our quest to redefine the industry.
• Competitive compensation and benefits with occasional 'distinctive benefits' that set us apart.

Who you are:

• 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 GCP.
• 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).
• Snowflake SnowPro Advanced Data Engineer certification
• Snowflake SnowPro Advanced Data Scientist certification
• Snowflake SnowPro Advanced Administrator certification
• Snowflake SnowPro Advanced Data Analyst certification

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