IN_Senior Associate_Azure Data Engineer_Digital Integration_Advisory_Kolkata

**Job Description &
Summary: **
· We are
looking for a Senior Data Engineer with deep, hands-on expertise in Microsoft
Fabric and the broader Azure data ecosystem to design, build, and operate
enterprise-scale analytics platforms. You will own end-to-end data solutions
— from real-time ingestion and medallion-architecture lakehouses to governed
semantic models and business-facing dashboards — for large enterprise
clients, including regulated industries such as energy and utilities.

· This is
a builder role. You will write production code (Python/PySpark, T-SQL, KQL),
automate deployments through CI/CD, and work directly with architects and
business stakeholders to turn requirements into reliable, observable data
products.

Job Position Title:

Senior Associate

Responsibilities:

·
Architecture & Platform Design

·
Define end-to-end solution architecture for
enterprise analytics platforms on Microsoft Fabric and Azure - ingestion,
storage, compute, serving, and consumption layers — with clear rationale and
documented trade-offs.

·
Design workspace topology, capacity strategy,
and environment separation (dev/test/prod), including naming standards, item
organization, and promotion paths.

·
Establish platform-level design patterns:
medallion layering standards, hot-path vs. cold-path (Lambda-style)
architectures, metadata/control-table-driven orchestration frameworks, and
reusable pipeline templates.

·
Make and defend technology selection decisions
(e.g., Warehouse vs. Lakehouse, Eventhouse vs. Warehouse for a workload, ADF
vs. Fabric pipelines, native vs. custom alerting) based on cost, latency,
governance, and skills fit.

·
Design for security and compliance by default:
Entra ID RBAC models, workspace/item-level permissions, service-principal
boundaries, network and data-residency considerations, and Purview-integrated
governance.

·
Define non-functional requirements and design
against them — scalability, capacity/CU consumption, refresh SLAs, disasterrecovery, and observability/monitoring architecture.