Big Data Architect
First seen by Alion on Aug 27, 2026.
We are looking for a Big Data Architect with experience designing scalable data solutions using Agile/SAFe practices, data mesh architecture, real-time streaming, cloud platforms, and modern data engineering technologies. The candidate should have a strong DataOps mindset and the ability to design solutions for testability, deployability, security, and continuous delivery.
Key Responsibilities :
- Design scalable data solutions and data products following Agile and SAFe methodologies.
- Design architectures with strong focus on testability, deployability, releaseability, built-in quality, and security.
- Drive rapid prototyping, data modeling, and decentralized innovation across data products.
- Design and implement Data Mesh architectures for data-intensive applications.
- Design solutions using real-time streaming architectures and distributed data processing.
- Define and maintain Architectural Runway and Non-Functional Requirements (NFRs).
- Design and enable CI/CD pipelines for data solutions, supporting continuous delivery and DataOps practices.
- Design and support applications hosted on Kubernetes.
- Drive continuous evolution of system architecture based on data, research, and professional judgment.
- Apply recognized architecture frameworks such as TOGAF or Zachman where appropriate.
- Collaborate effectively across multiple projects and stakeholders while working in a fast-paced environment.
Required Skills & Technologies :
- Strong experience in Big Data architecture and data-intensive applications.
- Experience with AWS and Azure cloud platforms.
- Strong knowledge of Azure Synapse, Azure Databricks, Azure Data Lake Storage, Apache Spark, Kafka, and NiFi.
- Experience with RDS, SQL, on-premise data warehouses, Power BI, and reporting/analytics.
- Knowledge of real-time streaming, Data Mesh, Kubernetes, DataOps, and CI/CD.
- Understanding of BSS, OSS, and Enterprise Support Systems is preferred.
- Strong analytical, problem-solving, written, verbal, and stakeholder-management skills.
- Ability to work independently across multiple projects in a fast-paced environment.
Skills
Data Engineering, Big Data, Data Modeling, AWS, Azure, Synapse Analytics, Data Warehousing, Big Data Architect, Reporting Analytics, SQL, Azure Databricks