Job Summary:

We are seeking a highly experienced and driven Cloud Data Architect to architect and lead the development of an enterprise-grade data
platform using Microsoft Fabric. This role involves overseeing the full data
lifecycle — from ingestion and transformation to analytics, governance, and
deployment — by integrating Azure-native technologies such as Data Factory,
Synapse Pipelines, Delta Lake, Spark, and Power BI within the Microsoft Fabric
ecosystem.

Key Responsibilities:

- Design
and implement scalable, secure, and modular Lakehouse architectures in
OneLake using Delta Lake and Fabric-native services.

- Architect
medallion-layered data models (Bronze, Silver, Gold) that support batch
and real-time analytics.

- Support
data modeling for analytics, including star/snowflake schemas and semantic
models for Power BI.

- Design
and build robust data pipelines using Azure Data Factory, Synapse
Pipelines, and Spark Notebooks (via Synapse or Fabric).

- Implement
complex ETL/ELT logic, including joins, aggregations, SCDs, window
functions, and schema evolution.

- Integrate
a broad range of data sources — structured, semi-structured, and
unstructured — from SQL, REST APIs, Event Hubs, Blob Storage, SharePoint,
and more.

- Enable
real-time streaming and event-driven processing with Azure Event Hubs,
Kafka, or IoT Hub.

- Establish
automated data quality checks, validation rules, and anomaly detection
using Azure Data Quality, custom Python scripts, or Data Activator.

- Implement
robust data lineage tracking, auditing, and error-handling mechanisms
across the pipeline lifecycle.

- Enforce
enterprise data governance using Microsoft Purview, including metadata
management, data masking, RBAC, Managed Identities, and Key Vault
integration.

- Enable
low-latency BI through DirectLake mode and semantic models in Power BI.

- Develop
KQL-based Real-Time Analytics solutions within Fabric for instant insights




and monitoring.

- Establish
data security architecture including RBAC, data masking, encryption, and
integration with Key Vault and Entra ID (Azure AD).

- Set
up CI/CD pipelines using Azure DevOps, GitHub Actions, and
infrastructure-as-code tools like ARM, Bicep, or Terraform for deploying
data infrastructure and Fabric artifacts.

- Promote
version control, environment promotion, and release management strategies
in Fabric Workspaces.

- Collaborate
closely with BI developers and application teams to support integrated and
analytics-ready data delivery.

- Define
and maintain enterprise-wide data architecture standards, principles, and
best practices.

- Mentor
junior engineers, lead code reviews, establish engineering best practices,
and maintain high standards of documentation and automation.

Qualifications:

- 10+
years of experience in data engineering, with at least 2+ years in
technical lead or architect roles.

- Proven
expertise in Azure Data Factory, Synapse Analytics, Delta Lake, Azure Data
Lake, and Power BI.

- Strong
proficiency in Python, Spark, and SQL.

- Deep
experience with data integration (REST APIs, SharePoint, Blob),
event-driven pipelines (Event Hubs, Kafka), and streaming ingestion.

- Hands-on
experience with data quality frameworks, data validation logic, and
automated anomaly detection.

- Knowledge
of Fabric Workspace lifecycle management, including CI/CD deployment
strategies.

- Robust
grasp of data warehousing, datalakehouse patterns, and governance
frameworks (Purview, RBAC, data masking).

- Familiarity
with real-time analytics using KQL and Data Activator within Fabric.

- Excellent
leadership, communication, and cross-functional collaboration skills.

Good to Have:

- Microsoft
certifications such as:

- Azure
Solutions Architect

- Azure
Data Engineer Associate

- Microsoft
Fabric certifications

- Industry-specific
experience in finance, healthcare, manufacturing, or retail.

📌 Cloud Data Architect (Bengaluru)
🏢 Important Group
📍 Bengaluru