About the Role

We are looking for an experienced

Lead Data Architect to drive the vision, design, and deployment of enterprise-scale cloud data solutions. In this role, you will bridge business strategy with contemporary technical architecture, transforming complex requirements into high-performing, scalable cloud data infrastructures.

Responsibilities:
Solution Architecture:

Translate client business requirements into optimal, enterprise-grade cloud and hybrid architectures.
Data Strategy &
Governance:

Define, document, and present architecture frameworks and value propositions; lead technical governance across design, build, and deployment phases.
Modernization &
Migration:

Lead end-to-end migrations from on-premises data platforms to contemporary, cloud-native data warehouses and data lakes.
Data Engineering &
Acceleration:

Drive dimensional data modeling, query optimization, and the creation of data accelerators to boost productivity and automation.
Stakeholder Engagement:

Partner with business sponsors and cross-functional teams to ratify technical constraints, requirements, and project scope.
Security &
Compliance:

Ensure all data pipelines, storage, and architectures align with data security measures, governance standards, and regulatory compliance.

Requirements:




Architectural Leadership:

Proven experience designing enterprise-scale cloud infrastructures, database migrations, and cloud-native data platforms.
Microsoft Azure Stack:

Deep expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, Azure Data Explorer, and exposure to Microsoft Fabric.
Big Data &
Analytics:

Hands-on proficiency with PySpark, SQL development, transactional/time-series data, and structured/unstructured datasets.
Data Modeling:

Solid experience in dimensional data modeling, database design, and query/storage performance tuning.
Advanced Analytics &
AI/ML:

Familiarity with Azure ML, TensorFlow, or similar frameworks, alongside data visualization tools such as Power BI or Tableau.
DevOps &
MLOps:

Practical knowledge of CI/CD, DevOps, and MLOps practices for managing software and service lifecycles.
Soft Skills:

Excellent client-facing communication, collaboration, and consultative skills.

Preferred Qualification:
Certifications such as

Microsoft Certified: Azure Data Engineer Associate or

Azure Solutions Architect Expert

.
Hands-on experience developing reusable data acceleration assets and automation frameworks.

📌 Lead Data Architect Azure & Modern Data Stack Bangalore Urban
🏢 Trigent Software
📍 Bangalore Urban