Top Remote Data Architect Jobs
The Principal Data Architect is responsible for executing the vision and strategy for the organization's use of data, defining data architecture roadmap, ensuring alignment with business requirements and data policies, and choosing appropriate toolsets. They collaborate with stakeholders to deliver secure, available, and accurate data solutions.
The Principal Data Architect is accountable for executing the vision and strategy for the organization's use of data, defining and maintaining the data architecture roadmap, ensuring data solutions align with business requirements, and choosing toolsets for data storage facilities within budget. Must have at least 15 years of experience, with a minimum of 3 years in data systems AI and ML. Responsibilities include leading cross-functional teams and translating business requirements into data models.
The Principal Data Architect is accountable for executing the vision and strategy for the organization's use of data. They lead cross-functional teams and execute data strategies from their vast experience.
The Principal Data Architect is responsible for executing the vision and strategy for the organization's use of data, defining and maintaining the data architecture roadmap, ensuring alignment with business requirements, and leading the implementation of data solutions.
Looking for a Snowflake Data Architect to lead the development of Enterprise Data and Analytics Platforms, optimize data pipelines, and provide guidance on data governance. Must have expertise in Snowflake, SQL, Unix Shell Scripting, Python, and AWS PAAS model. This is a consulting role with 50% travel expectations.
The Data Architect at Bounteous x Accolite is responsible for developing and executing a roadmap to maximize data capabilities and business insights. They guide the future direction of data solutions, lead a team of analysts, and champion a data-driven culture within the organization.
Seeking a seasoned Enterprise Data Architect to enhance the dynamic team at Skillsoft. Responsible for leading data strategy, mentorship, advanced analytics, cost management, architecture optimization, security, and innovation. Must have a degree in a related field, 10 years of experience, and expertise in data management, modeling, pipelines, and storage solutions.
As a Data Architect, you will architect and implement advanced data infrastructure, crucial for powering AI/ML models, Immersive Technology, and Web3 applications. Responsibilities include designing scalable data solutions, developing data pipelines, and integrating blockchain technologies.
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The Senior Data Architect specializes in designing, implementing, and managing complex data streaming architectures using Apache Kafka and Confluent technologies. This role involves developing architectural visions, collaborating with clients and stakeholders, designing data models, defining integration strategies, evaluating technologies, enforcing data governance policies, and leading engineering teams.
Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescripti...
Simtra BioPharma Solutions is seeking a Principal BI/Data Architect to lead the implementation of a data and BI platform for a pharmaceutical manufacturing company. Responsibilities include building a cloud data warehouse platform, implementing ETL tools, defining data standards, implementing data security and governance, and leading a team of data and BI engineers.
The Data Architect will design and maintain robust data infrastructure, develop data models, implement ETL processes, and automate tasks using Python and SQL. This role requires 7+ years of experience in enterprise-scale data warehousing and data engineering. Bachelor's Degree in Computer Sciences or equivalent work experience is required.
Design and construct large relational databases, develop database architectural strategies, provide expertise in data storage structures, collaborate on data strategy
The Data Architect is responsible for overseeing and developing reference architecture, data pipelines, data models, and data quality assurance from various sources to ensure data integrity. They work on designing enterprise data models and database structures in a remote role within an information management team.
Seeking a Data Architect to lead the design and architecture of solutions, collaborate with stakeholders, and ensure alignment with business needs. Must have expertise in Python, SQL, AWS, Snowflake, dbt, and visualization tools like Tableau and Sigma.
Lead the strategy and execution of the data management system critical to powering the enterprise product platform. Design innovative and scalable data solutions, ensure adherence to data privacy and security standards, and optimize data infrastructure.
Seeking a seasoned Senior Data Architect to lead data architecture standards and best practices implementation. Responsibilities include training teams, facilitating collaboration on data standards, and staying updated on data technologies. Requires 7+ years of data architecture experience and a Bachelor's or Master's degree in Computer Science or related field.
Design and implement data management solutions on the AWS cloud for customers, work with cross-functional teams, lead data architecture and schema design, participate in agile ceremonies, provide guidance to engineers, and optimize relational databases.
The Enterprise Data Architect role at Pathward involves driving and enabling data capabilities to transform the company into a data-driven organization. Responsibilities include defining and supporting modern Data Platforms with a focus on Business Intelligence tools, collaborating with senior leadership, and implementing data strategies and roadmaps.
As an Azure Data Architect, you will drive customer initiatives leveraging Azure data, analytics and AI/cognitive services to solve the biggest and most complex data challenges faced by our enterprise customers.
The Enterprise Data Architect role at Aprio is pivotal in transforming the firm's data infrastructure and capabilities, enabling informed decision-making and business growth. Responsibilities include leading the design of a centralized data platform, overseeing data architecture, integration, and management, optimizing data systems, implementing data governance, collaborating with teams, introducing innovative solutions, and providing technical guidance. Qualifications include 8-10 years of experience in enterprise data architecture, a degree in Computer Science or related field, and excellent communication skills.
Mactores is seeking an AWS Data Engineer with extensive experience in PySpark and SQL. The candidate must have worked with data pipelines using Amazon EMR or Amazon Glue, and have expertise in developing and managing data pipelines in a DataBricks DeltaLake format. Familiarity with Amazon Redshift, Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow is required.
The Big Data Architect will design and implement big data solutions on the AWS cloud. They will work with a cross-functional team to deliver top-quality data solutions, participate in daily standup meetings, and address technical issues. The architect will have experience in ETL, data processing, data lakes, analytics, and visualization. Knowledge of IaC tools and AWS services like Glue and Lambda is required. Excellent communication skills are a must.
Design, develop, and maintain data movement applications using AWS services. Build data pipelines for large datasets. Implement data governance strategies and solutions. Work with cross-functional teams to deliver solutions. Ensure data quality, standards, and processes are maintained.
Design and build scalable data pipelines and systems to process terabytes of data daily. Migrate existing systems to next-gen architecture. Collaborate with stakeholders to meet business objectives. Ensure data infrastructure efficiency and security. Provide technical leadership and stay updated on emerging technologies in data processing and analytics.
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