Senior Data Architect - Databricks/Azure/AWS
First seen by Alion on Nov 6, 2026.
Data Architect - Databricks, Azure & AWS
About the Role:
We are looking for an experienced Data Architect to lead the design and implementation of modern cloud-based data platforms. The ideal candidate should have strong hands-on expertise in Databricks, Azure, and AWS and experience building scalable data architectures, data pipelines, and enterprise analytics solutions.
Mandatory Skills :
- Databricks
- Microsoft Azure
- Amazon Web Services (AWS)
- Data Architecture & Solution Design
- ETL / ELT
- Data Pipeline Design & Development
- Data Lakehouse Architecture
- Data Modelling
- Data Governance & Data Lineage
- Apache Spark / PySpark
- SQL & Python
- Reporting & Analytics
Key Responsibilities :
- Design and implement enterprise-scale data architectures and cloud data platforms.
- Build scalable data pipelines and data integration frameworks.
- Architect and implement Data Lakehouse solutions using Databricks, Azure, and AWS.
- Define data governance, data quality, security, and lineage standards.
- Design logical and physical data models for reporting, analytics, and AI use cases.
- Lead cloud migration and data modernization initiatives.
- Collaborate with business, engineering, analytics, and AI teams to deliver enterprise data solutions.
- Provide technical leadership and mentor data engineering teams.
Required Experience:
- 15+ years of experience in Data Engineering or Data Architecture.
- Hands-on expertise in Databricks, Azure, and AWS is mandatory.
- Strong experience in ETL/ELT, Data Pipelines, and Lakehouse Architecture.
- Deep understanding of Data Governance, Data Lineage, and Data Modelling.
- Hands-on experience with Spark/PySpark, SQL, and Python.
- Experience building enterprise analytics and reporting platforms.
- Strong stakeholder management and communication skills.
Preferred Skills:
- Experience with Generative AI, Agentic AI, or AI-enabled data platforms.
- Exposure to cloud-native architecture and enterprise data modernization programs.
- Azure, AWS, or Databricks certifications.
Skills
Data Architect, Databricks, Azure, AWS, ETL, DataLake, Data Quality, Data Lineage, Solution Design, Data Pipeline, Python