Azure Data Architect

Job Description :

Job Title : Azure Data Architect

Location : Hyderabad, pane (hybrid)

Experience required : 12+ years

Role Overview :

We are seeking a highly experienced

senior data architect

to design and implement robust, scalable, and high-performance data architectures that support our enterprise data initiatives. The ideal candidate should bring strong expertise in SQL, ETL / ELT, Microsoft Fabric, Azure, and a deep understanding of data warehousing concepts, medallion architecture, and data pipeline engineering. Experience in data visualization, DevOps, and modern cloud-based data platforms is essential. This role requires strong leadership to manage the successful delivery of multiple data projects and provide technical guidance to data engineering teams. In addition, the role requires active participation in

pre-sales activities

such as developing technical proposals, responding to RFPs, creating SOWs and estimations, and presenting solutions to senior leadership and customer stakeholders.

Key Responsibilities :

Architect end-to-end data solutions using

modern cloud data platforms , especially

Microsoft Fabric

and

Azure Synapse Analytics .

Lead the

planning, execution, and delivery of multiple data projects , ensuring alignment with business goals, timelines, and quality standards.

Lead the design and development of

Data Warehouses ,

Data Lakes , and

Lakehouses

following

Medallion architecture

principles (Bronze, Silver, Gold layers).

Define and implement

data ingestion pipelines

from diverse sources (structured, semi-structured, and unstructured).

Oversee the development of

ETL / ELT processes , ensuring scalability, performance, and reusability.

Work closely with business analysts, data engineers, and BI developers to understand requirements and translate them into robust technical designs.

Drive data quality, lineage, cataloging, and governance best practices.

Collaborate with DevOps teams to integrate CI / CD pipelines and automate deployments using

Azure DevOps .

Provide guidance and mentorship to junior architects and data engineers.

Evaluate & recommend tools, technologies, and frameworks to support data strategies. Support

pre-sales activities

by preparing technical proposals, effort estimations, and SOW documents.

Collaborate with sales and leadership teams to respond to

RFPs

and customer queries.

Present technical solutions and value propositions to senior leadership and client stakeholders.

Required Skills & Experience :

12–18 years

of experience in Data Architecture, Data Engineering, or related roles.

Strong hands-on experience in

SQL , performance tuning, and optimization.

Expertise in

ETL / ELT processes , data modeling, and transformation logic.

Solid understanding of

Microsoft Fabric

(Data Factory, Dataflows Gen2, OneLake, etc.).

Deep knowledge of

Data Warehousing

principles,

star / snowflake schema , and

dimensional modeling .

Strong understanding of

data pipelines ,

data integration

from various source systems (ERP, APIs, Files, Streams, etc.).

Experience with

Azure Data Services

(Data Factory, Synapse, Databricks, Azure SQL DB, Blob Storage).

Hands-on experience with

DevOps

practices, source control, CI / CD pipelines, and infrastructure automation (preferably

Azure DevOps ).

Proficiency in

data visualization tools

like Power BI / Tableau / Qlikview.

Understanding of

data governance ,

security ,

compliance , &

metadata management .

Demonstrated experience in

pre-sales

engagements including proposals, RFP responses, SOW creation, and solution presentations.

Preferred Qualifications :

Microsoft Azure certifications (e.g.,

Azure Data Engineer Associate ,

Azure Architect ).

Experience with data modeling tools (e.g., ER / Studio, dbt).

Familiarity with Python, Spark, or Scala is a plus.

Please share your resume at Akhila.kadudhuri@programmers.ai with current CTC, expected CTC, and notice period details.