DPR Construction
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Snowflake Architect/Admin
role at
DPR Construction .
DPR Construction is a forward‑thinking, employee‑owned general contractor specializing in technically complex and sustainable projects across advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR has grown into a multi‑billion‑dollar family of companies with offices worldwide.
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 DPR’s 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.
Prototype solutions using the latest Snowflake features to demonstrate practical use cases and drive early adoption across the business.
Implement and manage Snowflake security features, such as access controls, encryption, and data masking.
Collaborate with engineering, data, and analytics teams to deliver business‑critical data solutions.
Drive data initiatives using Azure/AWS as well as Snowflake & DBT; extend into advanced analytics and AI concepts.
Leverage Snowflake Cortex for natural language query experiences, document understanding, and AI‑driven insights directly within the Snowflake environment.
Support the AI team with generative AI use cases powered by Snowflake’s LLM functions (text summarization, classification, Q&A on enterprise data).
Implement vectorized data pipelines for semantic search and 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 incorporate future requirements into the platform roadmap.
Lead data architecture initiatives across all project phases.
Qualifications
10+ years of experience in data architecture and engineering, with at least 5+ years in Snowflake design and delivery at scale in cloud environments.
Hands‑on experience building 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 designing data structures for data lakes and cloud data warehouses to support analytics and reporting.
Hands‑on experience with Snowflake Cortex, Snowpark ML, or Snowflake 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 managing technical backlogs with cross‑functional teams.
Skilled in orchestrating and automating data pipelines within a DevOps framework.
Strong communicator capable of presenting ideas clearly and influencing stakeholders; passionate about enabling data‑driven transformation.
Explore open opportunities at
www.dpr.com/careers .
#J-18808-Ljbffr
Snowflake Architect/Admin
role at
DPR Construction .
DPR Construction is a forward‑thinking, employee‑owned general contractor specializing in technically complex and sustainable projects across advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR has grown into a multi‑billion‑dollar family of companies with offices worldwide.
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 DPR’s 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.
Prototype solutions using the latest Snowflake features to demonstrate practical use cases and drive early adoption across the business.
Implement and manage Snowflake security features, such as access controls, encryption, and data masking.
Collaborate with engineering, data, and analytics teams to deliver business‑critical data solutions.
Drive data initiatives using Azure/AWS as well as Snowflake & DBT; extend into advanced analytics and AI concepts.
Leverage Snowflake Cortex for natural language query experiences, document understanding, and AI‑driven insights directly within the Snowflake environment.
Support the AI team with generative AI use cases powered by Snowflake’s LLM functions (text summarization, classification, Q&A on enterprise data).
Implement vectorized data pipelines for semantic search and 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 incorporate future requirements into the platform roadmap.
Lead data architecture initiatives across all project phases.
Qualifications
10+ years of experience in data architecture and engineering, with at least 5+ years in Snowflake design and delivery at scale in cloud environments.
Hands‑on experience building 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 designing data structures for data lakes and cloud data warehouses to support analytics and reporting.
Hands‑on experience with Snowflake Cortex, Snowpark ML, or Snowflake 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 managing technical backlogs with cross‑functional teams.
Skilled in orchestrating and automating data pipelines within a DevOps framework.
Strong communicator capable of presenting ideas clearly and influencing stakeholders; passionate about enabling data‑driven transformation.
Explore open opportunities at
www.dpr.com/careers .
#J-18808-Ljbffr