Snowflake ArchitectAdmin

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 27 days ago

Vacancies: 1 Vacancy

Job Summary

Job Description

DPR is looking for an experienced Snowflake Data Architect/Admin to join our Data and AI team and work closely with the Data Platform BI and Enterprise architecture teams to influence the technical direction of DPRs data engineering and analytics initiatives.

You will work closely with cross-functional teams including business stakeholders data engineers AI Team and technical leads to ensure alignment between business needs and data architecture and define data models for specific focus areas.

Responsibilities

Design build and own the overall data architecture across the Snowflake data platform including the data lake data warehouse and data consumption layers.

Monitor and optimize Snowflake performance including query performance tuning resource allocation and cost management.

Develop optimize and manage conceptual and logical data architectures and integrations across both internal and external systems.

Experiment with prototype solutions using the latest Snowflake features demonstrating practical use cases and driving early adoption across the business.

Implement and manage Snowflakes security features such as access controls encryption and data masking.

Collaborate closely with engineering data and analytics teams to deliver business-critical data solutions.

Drive high priority data initiatives using Azure/AWS as well as Snowflake & DBT. The role may also extend into some advanced Analytics and AI concepts

Leverage Snowflake Cortex to enable natural language query experiences document understanding and AI-driven insights directly within the Snowflake environment.

Support the AI team with generative AI use casesLLM functions such as text summarization classification and Q&A on enterprise data.

Implement and manage vectorized data pipelines for semantic search and retrieval-augmented generation (RAG) within Snowflake.

Stay current with evolving Snowflake AI capabilities (Cortex Snowpark Container Services Document AI and Feature Store) and apply them to improve data accessibility and intelligence.

Design scalable secure and high-performance data pipelines to support evolving business needs.

Partner with strategic customers to understand their vision and ensure future requirements are incorporated into the platform roadmap.

Participate in all phases of the project lifecycle and lead data architecture initiatives.

Qualifications

10 years of experience in data architecture and engineering with at least 5 years of experience in Snowflake designing and delivering solutions at scale in cloud environments.

Hands-on experience with secure and scalable enterprise data architectures using Microsoft Azure or AWS.

Deep knowledge of Snowflake and DBT with experience building robust data ingestion and ETL/ELT pipelines.

Experience in designing data structures for data lakes and cloud data warehouses to support analytics and reporting.

Hands-on experience with Snowflake Cortex Snowpark ML or Snowflakes AI/ML features for model training deployment or inference.

Understanding of vector embeddings model governance and prompt-driven analytics within Snowflake.

Strong proficiency in SQL python git and working with Snowpark DataFrames and UDFs for AI model integration.

Familiarity with agile methodologies and experience working closely with cross functional teams to manage technical backlogs.

Skilled in orchestrating and automating data pipelines within a DevOps framework.
Strong communicator with the ability to present ideas clearly and influence stakeholders with a passion for enabling data-driven transformation.

DPR Construction is a forward-thinking self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology life sciences healthcare higher education and commercial markets. Founded in 1990 DPR is a great story of entrepreneurial success as a private employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR youll have the chance to try new things explore unique paths and shape your future. Here we build opportunity togetherby harnessing our talents enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report Forbes Fast Company and Newsweek.

Explore our open opportunities at

Job DescriptionDPR is looking for an experienced Snowflake Data Architect/Admin to join our Data and AI team and work closely with the Data Platform BI and Enterprise architecture teams to influence the technical direction of DPRs data engineering and analytics initiatives. You will work closely wi...

Job Description

Responsibilities

Design build and own the overall data architecture across the Snowflake data platform including the data lake data warehouse and data consumption layers.

Monitor and optimize Snowflake performance including query performance tuning resource allocation and cost management.

Develop optimize and manage conceptual and logical data architectures and integrations across both internal and external systems.

Experiment with prototype solutions using the latest Snowflake features demonstrating practical use cases and driving early adoption across the business.

Implement and manage Snowflakes security features such as access controls encryption and data masking.

Collaborate closely with engineering data and analytics teams to deliver business-critical data solutions.

Drive high priority data initiatives using Azure/AWS as well as Snowflake & DBT. The role may also extend into some advanced Analytics and AI concepts

Leverage Snowflake Cortex to enable natural language query experiences document understanding and AI-driven insights directly within the Snowflake environment.

Support the AI team with generative AI use casesLLM functions such as text summarization classification and Q&A on enterprise data.

Implement and manage vectorized data pipelines for semantic search and retrieval-augmented generation (RAG) within Snowflake.

Stay current with evolving Snowflake AI capabilities (Cortex Snowpark Container Services Document AI and Feature Store) and apply them to improve data accessibility and intelligence.

Design scalable secure and high-performance data pipelines to support evolving business needs.

Partner with strategic customers to understand their vision and ensure future requirements are incorporated into the platform roadmap.

Participate in all phases of the project lifecycle and lead data architecture initiatives.

Qualifications

10 years of experience in data architecture and engineering with at least 5 years of experience in Snowflake designing and delivering solutions at scale in cloud environments.

Hands-on experience with secure and scalable enterprise data architectures using Microsoft Azure or AWS.

Deep knowledge of Snowflake and DBT with experience building robust data ingestion and ETL/ELT pipelines.

Experience in designing data structures for data lakes and cloud data warehouses to support analytics and reporting.

Hands-on experience with Snowflake Cortex Snowpark ML or Snowflakes AI/ML features for model training deployment or inference.

Understanding of vector embeddings model governance and prompt-driven analytics within Snowflake.

Strong proficiency in SQL python git and working with Snowpark DataFrames and UDFs for AI model integration.

Familiarity with agile methodologies and experience working closely with cross functional teams to manage technical backlogs.

Skilled in orchestrating and automating data pipelines within a DevOps framework.
Strong communicator with the ability to present ideas clearly and influence stakeholders with a passion for enabling data-driven transformation.

Explore our open opportunities at