Data Architect
Openkyber
Qualifications Minimum 10 years of recent experience in data architecture, data engineering, or a similar field.
Hands-on expertise with PostgreSQL and Snowflake administration and performance tuning.
Strong scripting and automation skills (Python, Ansible, etc.).
Familiar with Cloud Based Architectures /Data-Warehousing Platforms, prior experience / knowledge in Snowflake Design Patterns and migration workflow would be a plus.
Prior exposure building ML and generative AI solutions using Snowflake Cortex Analyst, Search, AI SQL, Snowflake ML, and Snowpark Container Services.
Proven record of architecting and delivering large-scale data warehouse modeling and reporting solutions for enterprise systems.
A bachelor's degree from an accredited college or university is required. A master's degree in computer science, engineering, or a related technical discipline is preferred.
Expertise in architecting cloud-native data ecosystems using platforms such as Snowflake, Databricks, Talend, SPARK, Power BI, and Microsoft Fabric.
Deep knowledge of designing solutions that incorporate Retrieval-Augmented Generation (RAG) and vector search (e.g., Azure AI Search).
In-depth understanding of architectural patterns for processing and modeling both structured transactional data and unstructured information.
Experience with transactional processing and AI/ML applications.
Demonstrated experience defining architectural principles, data governance policies, and technology standards within a large-scale, regulated, and Agile Software Development Life Cycle (SDLC) environment.
Exceptional problem-solving, communication, collaboration and leadership skills.
Ability to articulate strategic technical vision, influence executive-level stakeholders, and guide solutions for complex business problems.
Hands-on expertise with PostgreSQL and Snowflake administration and performance tuning.
Strong scripting and automation skills (Python, Ansible, etc.).
Familiar with Cloud Based Architectures /Data-Warehousing Platforms, prior experience / knowledge in Snowflake Design Patterns and migration workflow would be a plus.
Prior exposure building ML and generative AI solutions using Snowflake Cortex Analyst, Search, AI SQL, Snowflake ML, and Snowpark Container Services.
Proven record of architecting and delivering large-scale data warehouse modeling and reporting solutions for enterprise systems.
A bachelor's degree from an accredited college or university is required. A master's degree in computer science, engineering, or a related technical discipline is preferred.
Expertise in architecting cloud-native data ecosystems using platforms such as Snowflake, Databricks, Talend, SPARK, Power BI, and Microsoft Fabric.
Deep knowledge of designing solutions that incorporate Retrieval-Augmented Generation (RAG) and vector search (e.g., Azure AI Search).
In-depth understanding of architectural patterns for processing and modeling both structured transactional data and unstructured information.
Experience with transactional processing and AI/ML applications.
Demonstrated experience defining architectural principles, data governance policies, and technology standards within a large-scale, regulated, and Agile Software Development Life Cycle (SDLC) environment.
Exceptional problem-solving, communication, collaboration and leadership skills.
Ability to articulate strategic technical vision, influence executive-level stakeholders, and guide solutions for complex business problems.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 2 days ago
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