Data Architect For Bangalore Only

Permanent Payroll - Anlage Digital

Long term project

Notice period - Immediate joiners or 10 days joiners required

Do not share long Notice period profiles

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Role: Data Architect

Experience: 11 to 17 years

Location: Bangalore, RMZ Bellandur - WFO 4 days/Week

Work timings - 1.30 PM IST to 10.30 PM IST

Immediate Joiners Only

Excellent Communication Skills

Note: Need only candidates who can come for the F2F discussion at any PS location

JD:

PFA JD and kindly check below mentioned skills are mandatory.

-Azure Data Tech stack

-ADLS

-ADF

Data Modeling

Spark

-Hands on data engineering - experience must

11+ years

understanding of data product deployment

Good to have - AI experience using Azure

Job Description: Data / Solution Architect (Azure Data Platform)

Role Overview

We are seeking an experienced Data / Solution Architect with deep expertise in the Azure Data ecosystem to architect, design, and deliver scalable enterprise-grade data platforms and data products.

The ideal candidate should possess a strong data engineering background, hands-on experience with Azure data technologies, and the ability to define end-to-end data architecture aligned with business objectives.

This role requires a strategic thinker who can lead architecture discussions while remaining hands-on with modern data engineering and cloud-native solutions.

Experience

11+ years of overall IT experience

5+ years of experience in Data Architecture / Solution Architecture roles

Strong hands-on background in Data Engineering and Data Platform implementation

Key Responsibilities

Design and implement scalable, secure, and high-performance Azure-based data platforms.

Define enterprise data architecture, data integration patterns, and data governance frameworks.

Architect and deliver modern Data Lake, Lakehouse, and Data Product solutions.

Work closely with business stakeholders, product owners, and engineering teams to translate business requirements into scalable technical solutions.

Develop data models (Conceptual, Logical, and Physical) supporting enterprise analytics and operational use cases.

Lead architecture reviews, solution planning, and technical decision-making.

Establish best practices for data ingestion, transformation, storage, security, metadata management, and data quality.

Provide technical leadership and mentoring to engineering teams.

Support DevOps, CI/CD, and deployment strategies for data platforms.

Drive data modernization initiatives and cloud migration programs.

Mandatory Technical Skills

Azure Data Platform

Azure Data Lake Storage (ADLS Gen2)

Azure Data Factory (ADF)

Azure Databricks

Azure Synapse Analytics (preferred)

Azure SQL / SQL Server

Data Engineering & Big Data

Strong hands-on experience with Spark / PySpark

ETL / ELT architecture and implementation

Data Lakehouse Architecture

Delta Lake

Data Pipeline Design and Optimization

Performance Tuning and Scalability

Data Architecture

Enterprise Data Modeling

Dimensional Modeling (Star/Snowflake)

Data Warehouse Architecture

Metadata Management

Data Governance and Data Quality Frameworks

Master Data Management concepts

Deployment & Data Products

Experience designing and deploying enterprise data products

Understanding of data product lifecycle and operationalization

CI/CD and DevOps for data platforms

Infrastructure-as-Code concepts

Good to Have

Experience with Azure AI Services

Generative AI use cases on Azure

Azure OpenAI

Retrieval-Augmented Generation (RAG)

Vector Databases

AI-powered data and analytics solutions

Microsoft Fabric exposure

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related discipline.

Azure Certifications such as:

Azure Solutions Architect Expert

Azure Data Engineer Associate

Azure AI Engineer Associate (preferred)

Key Competencies

Solution Architecture & Design

Stakeholder Management

Technical Leadership

Problem Solving & Analytical Thinking

Communication & Presentation Skills

Consulting Mindset

Preferred Profile: Candidate should come from a strong hands-on Data Engineering background and have progressed into Architecture roles, with extensive experience in Azure Data Platforms, Spark-based processing, enterprise data modeling, and data product deployments. Azure AI/GenAI experience would be an added advantage.

Regards,

Syed

[email protected]