Keeley Construction
SnowflakeDataArchitect
“Snowflake Data Architect at Keeley Construction. Skills: Snowflake architecture, Data modeling, Data governance, AI-driven analytics. Define and execute target-state Snowflake architecture. Establish enterprise data modeling standards”
Industry & Context.
Performance tuning; Query optimization; Clustering strategies; Workload management; Concurrency scaling
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, 8+ years of enterprise data architecture, data warehousing, and data platform experience, 4+ years of hands-on experience designing and leading Snowflake implementations, Proven experience delivering enterprise-scale data warehouse, analytics, and data transformation programs, Deep expertise in Snowflake architecture, Advanced knowledge of dimensional modeling, enterprise data architecture, and data governance best practices, SQL development skills, Experience integrating structured and unstructured data sources, understanding of Microsoft Azure cloud services, Experience implementing Snowflake Cortex, Snowpark (Python), AI SQL, and AI-driven analytics capabilities, Experience supporting database administration, data migrations, and modernization initiatives, leadership, communication, and stakeholder management skills, Demonstrated ability to mentor technical teams
Nice to Have
SnowPro Advanced Certification preferred, Experience supporting construction, project-based, HR, finance, accounting, legal, or operations data environments preferred
What You'll Do.
Define and execute target-state Snowflake architecture
Establish enterprise data modeling standards
Establish architectural patterns
Establish governance frameworks
Establish golden-source strategies
Design scalable logical data models
Design physical data models
Develop enterprise data warehouse roadmap
Maintain enterprise data warehouse roadmap
Develop data modernization roadmap
Maintain data modernization roadmap
Design AI-ready data architectures
Support structured data analytics
Support unstructured data analytics
Support generative AI use cases
Establish Snowflake governance standards
Establish security standards
Establish cost management standards
Establish performance optimization standards
Establish data sharing standards
Establish monitoring standards
Establish observability standards
Design Snowflake Cortex capabilities
Implement Snowflake Cortex capabilities
Design Snowpark solutions
Implement Snowpark solutions
Lead development of scalable data ingestion frameworks
Integrate enterprise applications
Oversee enterprise data quality standards
Oversee enterprise data testing standards
Oversee enterprise data validation standards
Oversee enterprise data reconciliation standards
Oversee enterprise data observability standards
Drive Snowflake performance tuning initiatives
Lead large-scale data warehouse modernization efforts
Lead legacy data migration efforts
Partner with business leaders
Partner with technology leaders
Translate complex requirements into scalable data platform solutions
Mentor data engineers
Mentor data scientists
Guide data scientists
Implement enterprise data architecture best practices
Implement data engineering best practices
How You'll Work.
Team & Collaboration
Partner with business and technology leaders; Mentor and guide data engineers, analysts, and data scientists
Communication Scope
Present technical strategy
Process & Methodology
Data warehouse modernization, Legacy data migration
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