Top Remote Data Architect Jobs

The Lead Data Architect will develop data strategies for clients, enhance data use, and recommend optimal solutions for data management and delivery. Responsibilities include leading teams, ensuring data quality, communicating with stakeholders, and driving technology solutions to align with client goals.

As a Data Architect, you'll develop datasets for data visualization and machine learning while working with structured and unstructured data. Responsibilities include automating data pipelines, building data ingestion frameworks using Data Bricks and Apache Spark, and collaborating with stakeholders to deliver data products.

The Data Architect position at CapTech focuses on aligning clients' business goals with effective data management technologies. Responsibilities include assessing data management practices, improving data integration and quality, and developing strategic architectural solutions. The role involves collaborating with client stakeholders, mentoring staff, and driving innovative solutions through thought leadership.

The Data Architect at CapTech develops strategies for data delivery by aligning technologies with client business goals. Responsibilities include improving data management practices, analyzing data integration, and collaborating with stakeholders to enhance data utilization. The role emphasizes thought leadership in data architecture and encourages the growth of team capabilities.

The Data Architect at CapTech will design and implement data solutions, advocating for data management technologies, improving data integration and quality, and collaborating with clients to enhance data value. Responsibilities include strategic planning, staff development, and driving innovative tech solutions while sharing outcomes to improve future projects.

As a Data Architect/Principal Data Engineer at Scribd, the role involves leading the design and development of data architecture, guiding data modeling, integration, processing, and delivery standards for modern data products. This position requires expertise in building robust data systems, developing data pipelines, and collaborating with cross-functional teams to enhance data strategies for customer satisfaction.

The Lead Data Architect will align clients' business goals with data management technologies, enhance data integration and quality, and lead technical teams in designing effective solutions. Responsibilities include communicating strategic plans to stakeholders, advocating for data governance best practices, and driving innovative technology solutions.

The Data Architect at CapTech is responsible for aligning technology solutions with client business goals by developing data delivery strategies. Key tasks include assessing data management technologies, improving data integration and quality, motivating staff, and collaborating with stakeholders to maximize data value.

The Data Architect at CapTech will align clients' business objectives with technology solutions. Responsibilities include assessing data management technologies, developing strategic plans for data integration, motivating staff, collaborating with stakeholders, and driving technological innovations within data architecture. This role requires advanced knowledge of cloud services and data processing frameworks.

The Data Architect will design and implement cloud solutions focusing on data collection, ETL processes, and analytical reporting. This role involves supporting data architecture development, migration activities, technical communications with stakeholders, and leading technology evaluations within a dynamic agile team working with the Department of Transportation.

The Lead Data Architect at CapTech is responsible for aligning client business goals with technological strategies, overseeing data architecture design and implementation, leading teams of data engineers, and ensuring the effective delivery of data solutions. This role includes providing insights to stakeholders, advocating for best practices, and driving innovation in data management technologies.

The Lead Data Architect at CapTech will develop data strategies aligning technology to business goals, enhance data integration and quality, lead teams in architecture design, and provide insights to stakeholders. This role requires advanced knowledge of modern data architectures and cloud services.

The Lead Data Architect will develop data strategies to enhance data delivery implementations for clients, improving data use and effectiveness. Responsibilities include assessing data technologies, formulating architectural solutions, leading technical teams, ensuring best practices, and providing insights to stakeholders while supporting business initiatives.

The Data Architect will architect and implement Azure-based data solutions, leading workshops and mentoring teams on data ingestion, validation, and analytics. Responsibilities include designing Azure data services, engaging with stakeholders, and providing architectural guidance, while ensuring high-quality deliverables in a fast-paced environment.

The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.

The Snowflake Data Architect role involves leading the implementation of Snowflake technology solutions, providing consulting and best practices for large-scale projects, and engaging with customers to drive value. Responsibilities include architecting solutions, performance tuning, building data pipelines, and ensuring alignment with technological standards.

The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.