Snowflake Data Architect

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 1 Year(s)
No Travel Required

Skills

Snowflake Sr Engineer
Snowflake Data Architect
Cloud Platform
Snowflake data management solutions
AI across all major cloud platforms.
rchitect secure
scalable
highly performant data engineering and management solutions
including data warehouses
data lake
ELT / ETL and real-time data engineering / pipeline solutions.
Principal Data Architect
Design and manage scalable end-to-end data solutions leveraging native Snowflake workloadsincluding :Data Engineering; Data Lake; DataWarehouse; Applications;Unistore; AI/ML; Governed Collaboration
Marketplace
Streamlit.
HyperscalerDesign:Competently leverage data-related cloud platform (AWS or Azure

Job Details

Role:

Snowflake Sr Engineer

Employment Type:

Contract for 3 months subject to extension

Work location:

Coppel, Texas

Work mode:

Working from Office -3 days . Tuesday/Wednesday and Thursday

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 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).
  • 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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