Data Architect

Bizacuity Solutions

Hyderabad

On-site

INR 4,200,000 - 7,000,000

Full time

6 days ago
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Benefits offered by this job

Certifications sponsorship
Continuous learning
Competitive compensation

Job summary

Bizacuity Solutions seeks an experienced Data Architect specializing in Azure and Microsoft stack to design, build, and optimize enterprise-grade data solutions across hybrid environments.

You will define architecture strategy, lead complex data initiatives, and ensure data platforms are secure, scalable, and aligned with business goals.

Qualifications

  • 8+ years in data architecture, engineering or design roles.
  • Expertise with Azure data services and MS stack.
  • Strong SQL Server design, tuning and administration.
  • Experience with hybrid cloud architectures and governance.

Responsibilities

  • Design end-to-end data architectures using Azure and on-prem MS technologies.
  • Lead data warehousing, data lakes, and analytics platforms.
  • Develop data strategy, standards, governance, and models.
  • Ensure security, privacy, and regulatory compliance across platforms.
  • Collaborate with engineers, analysts and stakeholders to deliver projects.

Skills

Azure data services
SQL Server
Data modeling
Python
PowerShell
T-SQL
Cloud architecture
Hybrid cloud
Data governance
Security & privacy

Tools

Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL Database
Azure Databricks
Azure Data Factory
SSIS

Job description

Description: Job Title : Data Architect Azure & Microsoft Stack. Location : Hyderabad. Job Type : Full-time.

Position Overview

We are looking for a seasoned Data Architect with deep expertise in the Azure and Microsoft ecosystem to design, build, and optimize enterprise-grade data solutions across hybrid environments.

You will play a pivotal role in defining the data architecture strategy, leading complex data initiatives, and ensuring our data platforms are secure, scalable, and aligned with business objectives.

Key Responsibilities
Architecture & Design
  • Design and implement end-to-end data architectures leveraging Azure cloud and on-premises Microsoft technologies.
  • Develop data strategy, standards, and governance frameworks to ensure data consistency, integrity, and availability.
  • Create and maintain data models, architecture diagrams, and documentation for enterprise-wide visibility.
  • Evaluate and recommend modern data platforms, tools, and integration patterns within the Microsoft ecosystem.
  • Ensure architectural designs align with business priorities, scalability, and performance goals.
Technical Leadership

Lead the design and deployment of data warehouses, data lakes, and analytics platforms using:

  • Azure Synapse Analytics.
  • Azure Data Lake Storage.
  • Azure SQL Database.
  • Azure Databricks.
  • Architect hybrid solutions integrating on-premises SQL Server with Azure services.
  • Design ETL/ELT data pipelines using Azure Data Factory, SSIS, and related technologies.
  • Oversee data security, privacy, and compliance implementations (GDPR, ISO, SOC, etc).
  • Optimize database performance and establish backup, DR, and monitoring frameworks.
Project Management & Delivery
  • Lead data architecture projects from concept to production, ensuring quality and timely delivery.
  • Collaborate with project managers to define scope, timelines, and deliverables.
  • Manage risks, track dependencies, and ensure alignment with organizational priorities.
  • Guide cross-functional teams including data engineers, analysts, and business partners.
Business Partnership
  • Partner with business and technology stakeholders to translate data needs into technical designs.
  • Present architectural recommendations and insights in business-friendly language.
  • Conduct architecture reviews and drive data-driven decision-making across departments.
  • Stay ahead of emerging Azure, data, and analytics trends to recommend innovative solutions.
Required Qualifications
Technical Skills
  • 8+ years of experience in data architecture, engineering, or solution design roles.
  • Expertise in Azure data services (Synapse, Data Factory, Data Lake, Databricks, SQL Database).
  • Proficient in SQL Server (design, tuning, optimization, and administration).
  • Solid understanding of hybrid cloud architectures, networking, and integration patterns.
  • Hands-on experience with data modeling (dimensional, relational, NoSQL).
  • Strong in SQL/T-SQL and one or more programming/scripting languages (Python, C#, PowerShell).
  • Deep understanding of data governance, lineage, and security frameworks.
  • Exposure to DevOps, CI/CD, and Infrastructure as Code (IaC) for data solutions.
Project Management & Delivery
  • Proven success leading end-to-end data transformation programs.
  • Experience working in Agile/Scrum environments.
  • Strong organizational, planning, and multitasking skills.
  • PMP, PRINCE2, or equivalent certification preferred.
Business & Communication
  • Exceptional ability to communicate complex data concepts to executive and business audiences.
  • Strong business acumen with proven experience aligning technical solutions with business goals.
  • Excellent presentation, documentation, and stakeholder management skills.
  • Collaborative, proactive, and comfortable leading cross-functional teams.
Preferred Qualifications
  • Microsoft Certified : Azure Solutions Architect Expert or Azure Data Engineer Associate.
  • Experience with Power BI, DAX, and the broader Microsoft Analytics stack.
  • Exposure to real-time data streaming and event-driven architectures (Kafka, Event Hub).
  • Familiarity with machine learning, AI, and predictive analytics integration.
  • Hands-on experience with cloud migration and data modernization projects.
  • Domain experience in financial services, consulting, or large-scale enterprise environments is a plus.
Why Join Us
  • Work on cutting-edge Azure data technologies within a forward-thinking enterprise.
  • Shape the data architecture vision for transformative business initiatives.
  • Collaborate with senior leadership and cross-functional teams driving innovation.
  • Competitive compensation, certifications sponsorship, and continuous learning culture.
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