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Information Technology / Permanent Remote Data Architecture Jobs
Enterprise Architect - Data & AI
Key Responsibilities: Design and implement scalable data architectures and AI solutions across Azure cloud and on-prem environments Drive integration of AI solutions with existing data infrastructures and modernize legacy systems Implement best practices...architectures, and AI/ML frameworks Proven experience modernizing legacy data systems Experience integrating DevOps practices into data pipelines
Senior Data Engineer
Key Responsibilities Write and ship code while collaborating with analysts and stakeholders to refine requirements and ensure data meets business needs Drive architectural decisions and lead cross-functional data initiatives, maintaining high standards
Senior Data Engineer
A company is looking for a Senior Data Engineer to manage source data strategies and enhance data architecture....Key Responsibilities Lead the evolution of the Redshift environment and data architecture Collaborate with stakeholders to ensure data is accessible, reliable, and aligned with business needs Implement and refine processes for source extraction and
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Data Architect
Key Responsibilities Architect, develop, and deploy scripts for processing structured and unstructured data Design and maintain data architecture, including data access analysis and archive/recovery implementation Provide technical advice and guidance...on data management solutions and assist with data engineering efforts Required Qualifications Technical training in Data Design, Database Architecture, or Metadata Management Platforms At least 18 years of hands-on experience in architecting software
Director of Data and AI Solutions
Key Responsibilities Lead technical strategy for enterprise data and AI solutions Guide architecture for data platforms, ML systems, and AI applications Oversee full model lifecycle from development to deployment and monitoring Required Qualifications...7+ years in data architecture, AI/ML solution design, or engineering leadership Strong experience with modern data stacks (e.g., Snowflake, Databricks, BigQuery) Hands-on knowledge of AWS, Azure, or GCP Proven experience designing ML models in production
Data & AI Practice Lead
Key Responsibilities Lead technical strategy for enterprise data and AI solutions Guide architecture for data platforms, ML systems, and AI applications Oversee the full model lifecycle from development to deployment and monitoring Required Qualifications...7+ years in data architecture, AI/ML solution design, or engineering leadership Strong experience with modern data stacks (e.g., Snowflake, Databricks, BigQuery) Hands-on knowledge of AWS, Azure, or GCP Familiar with MLOps tools, model deployment
Senior Solutions Architect
Collaborating with interoperability business partners and vendors for requirement discussions and architecture Working with enterprise architecture and security teams on interoperability data and APIs Developing interoperability integration and data...architecture for compliance and use cases Required Qualifications Bachelor's degree 5 or more years of progressive information technology experience in architecture/engineering or information security
Snowflake Solutions Architect
Key Responsibilities Lead architectural design for Snowflake-based data platforms Translate business and technical requirements into scalable solutions Define best practices for data modeling, ELT pipelines, and performance optimization Required...Qualifications 8+ years of experience in data engineering or data architecture Proven experience designing and implementing solutions on Snowflake Strong SQL and Python skills Experience with AWS and modern data stack tools (e.g., dbt, Fivetran,
Data Engineer
best practices and code quality Required Qualifications 10+ years in data engineering or related roles Experience leading technical teams or projects Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks Deep understanding of data...architecture and pipeline design Fluent in English (spoken and written)
Data Engineer
best practices and code quality Required Qualifications 10+ years in data engineering or related roles Experience leading technical teams or projects Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks Deep understanding of data...architecture and pipeline design Fluent in English (spoken and written)
