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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Architect - **Company:** Intersources Inc. - **Location:** Houston, TX, United States - **Salary:** $23,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Cloud Computing, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Security, Data Warehousing, DevOps, Machine Learning, Scala (Programming Language), Amazon Simple Notification Service (SNS), Snowflake, Apache Spark, Data Strategy, Amazon Relational Database Service, Data Lakes, AWS Data Analytics, Apache Kafka, Data Management, Amazon Simple Queue Service (SQS), Amazon Redshift, Databricks, Microservices - **Published:** August 6, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/24916548#/jobs/24916548 ## About the Role * Hands-on experience in developing data enterprise solutions using AWS services * Extensive hands-on experience with DWH, APIs, Data Lake environments * Strong understanding of cloud infrastructure and services like EMR, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, apache airflow, SQS, SNS * Lead architecture of solutions to build self-service composite tools composed of microservices. * Excellent communication skills, with the ability to communicate technical concepts and solutions to both technical and non-technical stakeholders and management. * Experience in leading solutions around technology, data, Machine Learning, and Data Engineering, data governance and regulatory compliance, managing deliverables. ## Description We seek a skilled Data Architect with expertise in Data Platforms to join our team. As a Data Architect, you will also be responsible for developing and architecting data strategies that will enable secure and performant use of the data platform for BI solutions, advanced analytics and querying engine What you will be doing: * End to End responsibility for data collection, transformation, storage, governance and consumption. * Manage and define processes of external and internal data integrations. * Work closely with software engineers and DevOps teams to ensure APIs, data models, connectors, microservices are efficient and performant. * Lead architecture build self-service data access capabilities and smart APIs to drive data decisions * Lead cost efficiency, cost optimization efforts to keep data warehouse/virtual warehouse costs low * Improve data quality, data validation layers to help the BI solutions highlight rich data * Solid understanding of Kafka fundamentals to leverage kafka streams to provide near real time reporting solutions * Collaborate with development teams and product owners to implement data strategies and plans that align with business objectives and performance goals. * Design and implement virtual warehouses for existing and new usecases ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)