Remote Data Architecture Jobs

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  • Data Scientist

    issues with user experience Explain product issues and demonstrate the benefits of new user experiences Design methods to collect, organize, and analyze data about users and user behaviors Required Qualifications 7+ years of experience in IT-related data...architecture strategies Experience with Google Analytics Dashboard and Adobe Analytics Big Data experience with technologies like Amazon Redshift, HADOOP, and Apache Spark Bachelor's Degree Must be a US Citizen and able to attain low-level security

    Google Analytics Adobe Analytics Amazon Redshift HADOOP
  • Senior Data Architect

    pipelines for data ingestion, transformation, validation, and delivery Partner with cross-functional teams to align technical solutions with operational priorities Required Qualifications Deep expertise in IBM StreamSets 10+ years of experience in data...architecture with 3+ years leading data migration or modernization efforts Experience with cloud-based or hybrid data platforms Solid understanding of data governance, metadata management, and lineage tracking BS/MS in a technical field, or relevant

    IBM StreamSets Data Migration Real-time Pipelines Batch Pipelines
  • Senior Data Engineer

    capabilities for data and machine learning products Required Qualifications 7+ years of relevant data platform development experience Proficient in SQL and a high-order object-oriented language, such as Python Experience in designing distributed data...architecture and managing production-grade data pipelines Familiarity with event data streaming and distributed systems like Kafka or Spark Motivated to identify automation opportunities to enhance efficiency

    Snowflake Apache Airflow AWS Kinesis
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  • SAP Technical Manager

    Key Responsibilities: Provide expert advice on integration technology, data architecture, and best practices Oversee Software Development Life Cycle components impacting enterprise-wide development standards Manage integration projects and collaborate

    SAP S/4HANA SAP BTP Integration Suite APIs
  • Application Database Administrator

    Key Responsibilities Design, create, and maintain complex database schemas in client/server environments Coordinate with infrastructure DBAs to project long-term schema and data architecture requirements Conduct quality control and auditing to ensure

    Oracle SQL PL/SQL SQL Server
  • Senior Staff Data Engineer

    datasets Architect and maintain scalable data pipelines using technologies such as BigQuery and Kubernetes Drive best practices for data lineage, quality, security, and governance across the insurance ecosystem Required Qualifications 7+ years in data...engineering, architecture, or enterprise data Company roles Domain expertise in Property & Casualty (P&C) insurance Hands-on experience designing data models and schemas for complex insurance data Proficient in SQL and Python for data engineering

    Data Engineering Data Architecture Data Systems Data Classification
  • Staff Software Engineer

    ., AWS, Azure, GCP) Expertise in designing data architectures, including data lakes and real-time processing systems Knowledge of MLOps/LLMOps practices and tools for managing AI and data pipelines

    Python Java Scala TensorFlow Serving
  • IT Integration Architect

    Key Responsibilities: Lead post-merger integration efforts for systems and processes Design and implement enterprise and data architectures to support scalability and governance Oversee integration projects, including planning, resource allocation

    Integration Architect Enterprise Architect Data Architecture Data Governance
  • AI Architect

    Key Responsibilities Lead and manage data strategy engagements and project delivery teams Conduct assessments and workshops to define client needs and develop comprehensive data strategies Design modern data platform architecture and mentor team members

    AI Architecture Data Strategy Data Management Data Governance
  • Data Architect - ETL

    Key Responsibilities Design and implement scalable and secure data architectures across cloud and on-premise environments Define data models and govern data standards while integrating diverse data sources into unified platforms Collaborate with engineering

    Data Architecture ETL Data Lakes Data Warehouses