Data Architect

Invok Hr; Dehradun, Gurugram District, Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Invok HR seeks an experienced Data Architect to design scalable, secure cloud-native data platforms using Azure, Databricks, Synapse, and related services. You will translate business requirements into enterprise data solutions supporting BI, AI, ML, and Digital Transformation.

The role demands hands-on architecture leadership, mentoring of data engineers, and collaboration with CTOs and product teams. You will define data strategy, govern data quality, and drive migrations and modernization

Qualifications

• 6+ years of IT experience in Data Architecture/Data Engineering.
• Strong hands-on experience with Azure and Databricks.
• Experience designing enterprise-scale data platforms.
• Knowledge of data modelling, governance, security, and performance optimization.
• Experience mentoring engineering teams and collaborating with stakeholders.

Responsibilities

• Design end-to-end Data & Analytics Solution Architecture from concept through implementation.
• Drive enterprise data platforms using Azure Data Factory, Databricks, Synapse, and ADLS.
• Define enterprise data strategy, governance, and roadmaps.
• Develop data models and optimize performance across environments.
• Lead architecture reviews, client presentations, and pre-sales activities.
• Mentor data engineering teams and contribute to capability development.

Skills

Azure

Databricks

PySpark

SQL

Data Modelling

Data Governance

Data Engineering

Leadership

Education

Bachelor's or Master's in Computer Science/IT/Engineering

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Data Lake

Azure DevOps

HDInsight

SQL Server

Git

Databricks

Python

Job description

Job Title: Data Architect Azure & Databricks

Experience: 6+ Years
Location: Remote / India
Employment Type: Full-Time

Job Overview

We are looking for an experienced Data Architect with strong expertise in Microsoft Azure, Databricks, and Enterprise Data Architecture to join our consulting and technology team. The ideal candidate will be responsible for designing scalable, secure, and cloud-native data platforms and enterprise analytics solutions supporting Business Intelligence, AI, Machine Learning, Advanced Analytics, and Digital Transformation initiatives. You will work closely with senior business and technology stakeholders, including CTOs, Product Owners, Business Consultants, Data Engineers, Data Scientists, and client leadership, to translate business requirements into robust and scalable data architecture solutions.

Key Responsibilities

• Design and drive end-to-end Data & Analytics Solution Architecture from concept through implementation.
• Design scalable enterprise data platforms using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake.
• Define enterprise Data Strategy, Data Architecture standards, governance frameworks, and implementation roadmaps.
• Develop and optimize conceptual, logical, and physical data models.
• Design normalized, de-normalized, Star Schema, Snowflake Schema, transactional, temporal, time-series, structured, semi-structured, and unstructured data models.
• Review business requirements and recommend appropriate technologies considering scalability, security, performance, and cost optimization.
• Drive Azure cloud architecture, platform design, provisioning, optimization, and governance.
• Provide technical leadership, architecture guidance, mentoring, and code/design reviews to engineering teams.
• Collaborate with senior stakeholders to translate business requirements into scalable technical solutions.
• Drive Data Quality, Data Governance, and Data Lifecycle Management initiatives.
• Participate in architecture reviews, technical solutioning, client presentations, proposals, and pre-sales activities.
• Support cloud migration, modernization, and enterprise digital transformation initiatives.
• Contribute to hiring, mentoring, and capability development of Data Engineering and Architecture teams.
• Maintain architecture documentation, solution blueprints, technical standards, and engineering roadmaps.

Required Technical Skills

Cloud & Data Platforms

• Microsoft Azure
• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake / ADLS
• Azure DevOps
• Azure Automation
• HDInsight

Big Data & Programming

• Python
• PySpark / Apache Spark
• SQL
• SQL Server
• Databricks
• Hadoop
• Git

Data Engineering & Architecture

• Enterprise Data Architecture
• Data Integration
• ETL / ELT
• Data Transformation
• Data Modelling
• Query Optimization
• Performance Tuning
• Data Governance
• Data Quality Management

Infrastructure & Architecture

• Azure Virtual Machines
• Networking
• VPN / ExpressRoute
• Active Directory
• Blob Storage
• Windows / Linux
• Containerization
• Microservices
• Security and Infrastructure Architecture

DevOps

• Azure DevOps
• CI/CD
• PowerShell
• CLI
• Deployment and automation
• Object-Oriented Programming concepts

Preferred Skills

• Experience with GCP or multi-cloud environments.
• Experience with AI, Machine Learning, Advanced Analytics, and Modern Data Warehousing.
• Experience leading Cloud Migration and Data Platform Modernization initiatives.
• Experience working in Agile/Scrum environments.
• Experience collaborating with Product Owners, Business Consultants, Architects, and senior client stakeholders.
• Azure, Databricks, GCP, Cloud Architecture, or Data Architecture certifications.

Required Experience

• 6+ years of overall IT experience with significant experience in Data Architecture / Data Engineering.
• Strong hands-on experience with Azure and Databricks.
• Proven experience designing and implementing enterprise-scale data platforms.
• Strong understanding of data modelling, governance, security, integration, and performance optimization.
• Experience providing technical leadership and mentoring engineering teams.
• Excellent communication and stakeholder management skills.
• Ability to work hands-on with architecture, solution design, prototyping, technical reviews, and problem-solving.

Key Attributes

• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Strong ownership and leadership mindset.
• Ability to influence technical decisions and drive architecture best practices.
• Comfortable working with distributed and cross-functional teams.
• Passion for emerging Cloud, Data, AI, and Analytics technologies.
• Strong focus on continuous learning and innovation.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Software Engineering, or a related field.

Keywords:

Keywords: Data Architect, Azure Data Architect, Azure, Databricks, Azure Databricks, Azure Data Factory, ADF, Azure Synapse, ADLS, PySpark, Spark, SQL, Data Modelling, Data Governance, Enterprise Data Architecture, Data Platform, Cloud Architecture, Data Engineering, Cloud Migration, Data Modernization.