Senior Data Architect
External
Aottechnologies · RemotePrepare for this interview
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Requirements
- Must-Have Skills
- 4+ years of hands-on experience with Databricks, including Unity Catalog, Data Ingestion, ETL/ELT pipelines, and Medallion Architecture
- Strong programming experience in Python and SQL
- 5+ years of experience with public cloud platforms (Azure, AWS, or GCP)
- 5+ years of experience as a technical lead or architect, leading engineering teams and coordinating deliveries
- 10+ years of overall experience in software development or IT
- Experience with CI/CD pipelines and Infrastructure as Code (IaC)
- Strong understanding of Agile methodologies and engineering practices
- Minimum 1+ year of experience with the Microsoft Data Engineering stack, including Microsoft Fabric, Azure Data Factory, and Lakehouse / OneLake
- Exposure to AI / Machine Learning solutions
- Domain experience in healthcare or financial services domains
- Experience with Power BI, semantic datasets, and Power Query
- Full-stack development experience with Python, Java, .NET Core, and React or Angular
- Experience in data warehouse to lakehouse migration and platform modernization
- Databricks and/or Azure Data Engineer certifications
Benefits
Additional Information
Do you thrive when designing elegant solutions for complex data engineering challenges? Do you enjoy building scalable, cloud-native data platforms that power enterprise decisions? Do you excel at leading engineering teams and driving architecture strategy from vision to delivery? Do you care deeply about data quality, governance, and modern best practices? AOT Technologies is seeking a Senior Data Architect to join our team and help design and deliver scalable, modern data platforms for enterprise and public sector clients. About AOT We're on a mission to help enterprises and governments bring their ideas to life. As a boutique consulting firm, we partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Our expertise spans business process management, automation and AI, cloud, and application development. Our teams are collaborative, our leadership is transparent, and our work is impactful. Alongside our consulting practice, we're product builders: our flagship platform, formsflow.ai, is a low-code solution that simplifies complex form creation, approvals, and workflow automation, helping organizations move faster without sacrificing quality or compliance. Under the SLED360 umbrella, we deliver products and services tailored to the unique needs of state and local governments and the education sector, from modern case management to digital services. Our product offerings reflect our entrepreneurial spirit and firsthand experience solving real-world problems with scalable, human-centered technology. As we expand into new markets and scale our solutions, there's never been a better time to join AOT. Role and Responsibilities As a Senior Data Architect, you will design and implement scalable, cloud-native data platforms for enterprise and public sector clients. You will lead engineering teams, drive architecture decisions, and deliver modern data solutions using Databricks, Microsoft Fabric, and leading cloud technologies. You will: Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices Lead and mentor engineering teams, coordinating deliveries and driving technical standards Establish and evolve CI/CD pipelines and Infrastructure as Code (IaC) practices for data platforms Partner with clients and stakeholders to translate business requirements into scalable data solutions Champion data governance, quality, and security using tools such as Unity Catalog Contribute to platform modernization initiatives, including Data Warehouse to Lakehouse migrations Apply Agile methodologies to plan, iterate, and deliver data engineering projects effectively
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