5 results for Information Architect in Houston, TX

Content Strategist

Houston, TX
onsite
Permanent
75000 - 95000 USD / Yearly
We are looking for a talented Content Strategist to join our team in Houston, Texas. In this role, you will be responsible for shaping and executing impactful content strategies that align with business objectives and engage target audiences. The ideal candidate will bring creativity, strategic thinking, and expertise in content creation across multiple platforms. Responsibilities: • Develop and implement comprehensive content strategies that support business goals and drive audience engagement. • Create high-quality, compelling content tailored to various platforms including websites, blogs, social media, and marketing materials. • Optimize content for search engines (SEO) to enhance visibility and performance. • Manage social media channels, including planning, scheduling, and publishing content to maximize audience reach. • Design and execute social media campaigns that align with broader marketing strategies. • Collaborate with internal teams to ensure content consistency and alignment with brand voice. • Analyze content performance metrics and use insights to refine strategies and improve results. • Coordinate with stakeholders for event-related content, including trade shows and promotional materials. • Oversee the creation of graphics and visual assets for social media and marketing initiatives. • Stay updated on industry trends and emerging tools to enhance content effectiveness.
2026-03-16T00:00:00Z

Business Intelligence Engineer

Houston, TX
onsite
Temporary
40 - 50 USD / Hourly
Overview We are seeking a Power BI Developer to serve as the technical owner of the organization’s Power BI and analytics environment. This role focuses on platform ownership, data modeling, governance, and maintaining a stable analytics ecosystem rather than primarily building reports. The ideal candidate is a hands-on technical leader with strong experience in Power BI, SQL, and ETL processes, who can support the analytics platform while collaborating with data engineers, business stakeholders, and cross-functional teams. Key Responsibilities<ul><li>Serve as the technical lead and primary owner of the Power BI analytics environment.</li><li>Act as the first point of contact for platform issues and ensure ongoing system stability and performance.</li><li>Manage and maintain security, access controls, and governance across Power BI workspaces and datasets.</li><li>Monitor and support development and production analytics environments.</li><li>Partner with data engineering and IT teams to understand upstream data pipelines and ensure data is structured for reporting and analytics.</li><li>Design, build, and maintain semantic and data models within Power BI.</li><li>Develop and optimize complex SQL queries and ETL processes to support analytics and reporting needs.</li><li>Build scalable Power BI data models using star schema and dimensional modeling best practices.</li><li>Ensure consistent documentation, deployment standards, and version control across analytics assets.</li><li>Communicate effectively with business users and stakeholders to support reporting and data needs.</li></ul>
2026-03-09T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
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2026-03-13T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics. Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure data services.</li><li>Build and manage data solutions using tools such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks.</li><li>Develop and optimize data models, transformations, and storage strategies for large-scale structured and unstructured datasets.</li><li>Ensure data quality, integrity, and security across the data platform.</li><li>Monitor and troubleshoot data workflows, pipeline failures, and performance issues.</li><li>Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.</li><li>Implement data governance and best practices for data management and documentation.</li><li>Automate data processes and deployments using CI/CD pipelines and infrastructure-as-code practices.</li><li>Optimize cost and performance of Azure data services.</li><li>Stay current with new Azure features, tools, and industry best practices.</li></ul>
2026-03-09T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Position OverviewWe are seeking a talented Data Engineer with strong experience in Python, AWS, and Databricks to design and build scalable data pipelines and modern data platforms. The ideal candidate will help develop and maintain data infrastructure that supports analytics, machine learning, and business intelligence initiatives. This role requires hands-on experience working with large datasets, cloud-native architectures, and distributed data processing frameworks. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python and cloud technologies.</li><li>Develop and optimize data solutions using AWS services and Databricks.</li><li>Build and manage data lakes and data warehouses for structured and unstructured data.</li><li>Implement data transformation and processing pipelines using Apache Spark within Databricks.</li><li>Integrate data from multiple sources including APIs, databases, and streaming systems.</li><li>Ensure data quality, governance, security, and compliance across the data platform.</li><li>Monitor pipeline performance and troubleshoot data pipeline failures or latency issues.</li><li>Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable datasets.</li><li>Optimize storage and compute costs within the AWS ecosystem.</li><li> </li></ul>
2026-03-09T00:00:00Z