Position: Data Architect (Junior / Senior / Principal)

Desired Experience: 6–12+ Years

Compensation: Best-in-Industry About Aays

Aays is a fast-growing Data, Analytics, AI, and Cloud Consulting firm. We solve some of the most complex business and corporate finance challenges faced by global enterprises by leveraging Big Data, Cloud Computing, Artificial Intelligence, and Advanced Analytics.

We are an employee-first organization that firmly believe happy employees create happy customers, leading to long-term business success. Join us on a journey of innovation, growth, and continuous learning. About the Role

As a Data Architect, you will be a key member of our Consulting team, working directly with partners, founders, CTOs, business consultants, product owners, and senior client stakeholders to define, design, and implement enterprise-scale Data Strategy and Modern Data Architecture solutions.

You will play a pivotal role in designing scalable cloud-native data platforms and enterprise analytics solutions that support Business Intelligence, Artificial Intelligence, Machine Learning, Advanced Analytics, and Digital Transformation initiatives.

You will collaborate closely with Business Consultants, Product Owners, Data Engineers, Data Scientists, and client leadership to architect end-to-end data solutions across multiple business domains, including Corporate Finance, Controllership, FP&A;, GPO, and Enterprise Analytics.

Depending on your experience level, you will contribute to or lead enterprise architecture initiatives, technology strategy, cloud modernization, engineering governance, and technical mentoring across multiple client engagements.

Excellent communication, stakeholder management, leadership, and organizational skills are essential for success in this role. What is in it for you?

Opportunity to work with a world-class team of business consultants, architects, and engineers solving some of the most complex business problems using Data, Analytics, AI, and Cloud technologies.

Exposure to enterprise-scale Data Engineering, Cloud, AI, and Digital Transformation programs.

Opportunity to architect and implement modern enterprise Data Platforms.

Fast-track career growth in a highly entrepreneurial and collaborative work environment.

Opportunity to work with cutting-edge Azure, Databricks, AI, Big Data, and Cloud technologies.

Best-in-industry remuneration package. Key Responsibilities

Design and drive end-to-end Data and Analytics Solution Architecture from concept through implementation and successful delivery.

Design, develop, maintain, and optimize conceptual, logical, and physical data models for enterprise analytics solutions.

Design scalable enterprise Data Platforms using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, HDInsight, and other cloud-native technologies.

Define enterprise Data Strategy, Data Architecture standards, governance frameworks, best practices, and implementation roadmaps.





Ensure industry-accepted Data Architecture principles, standards, guidelines, governance, and rollout strategies are successfully implemented across projects.

Drive the design, sizing, provisioning, optimization, governance, and management of Azure cloud environments and related services.

Review business requirements and solution architecture to ensure appropriate technology selection, scalability, security, resource optimization, and seamless integration across multiple enterprise systems.

Provide technical leadership, mentoring, and architectural guidance to engineering, architecture, and business teams.

Collaborate with CTOs, Business Consultants, Product Owners, and senior client stakeholders to translate business requirements into scalable technical solutions.

Design enterprise data models including Normalized, De-normalized, Star Schema, Snowflake Schema, Transactional, Temporal, Time-Series, Structured, Semi-Structured, and Unstructured Data Models.

Lead Data Quality Management initiatives using Microsoft DQS and other Data Quality and Governance tools.

Define enterprise Data Governance standards and data lifecycle management strategies.

Advise on emerging technology trends and recommend innovative solutions to maintain competitive advantage.

Participate in pre-sales activities, technical solutioning, client presentations, proposal preparation, architecture reviews, and thought leadership initiatives.

Work closely with the founders and executive leadership to define and execute the organization's technology and cloud strategy.

Support hiring, mentoring, and capability development across Data Engineering and Data Architecture teams.

Maintain architecture documentation, technical standards, solution blueprints, engineering roadmaps, and knowledge repositories.

Essential Technical

Skills

Candidates should possess robust hands-on experience appropriate to their experience level in the following technologies: Big Data & Programming

Python

Apache Spark

SQL

SQL Server

Databricks

Azure Databricks

Hadoop

Git

Clojure

Cloud Technologies

Microsoft Azure

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake

HDInsight

Azure DevOps

Azure Automation

Google Cloud Platform (GCP) experience is an added advantage.

Data Engineering & Architecture

Enterprise Data Architecture

Data Integration

Data Transformation

ETL/ELT Development

SSIS

Data Modelling

Query Optimization

Performance Tuning

Data Governance

Data Quality Management

Microsoft DQS

Data Modelling

Hands-on experience designing and implementing:

Normalized Models





De-normalized Models

Star Schema

Snowflake Schema

Transactional Data Models

Temporal Data Models

Time-Series Data

Structured Data

Semi-Structured Data

Unstructured Data

Infrastructure & Platform Knowledge

Strong understanding of

Virtual Machines (VMs)

Networking

VPN (ExpressRoute)

Active Directory

Blob Storage

Windows

Linux

Containerization

Microservices

Security

Infrastructure Architecture

Development & DevOps

Object-Oriented Programming (OOP)

Visual Studio

SDKs

PowerShell

CLI

Microsoft Development Lifecycle

Azure DevOps

CI/CD pipelines

Candidates must possess strong practical implementation experience and be comfortable contributing hands-on through architecture, solution design, code reviews, prototyping, and technical problem-solving.

Desirable

Skills

Experience working in Agile environments.

Knowledge of Scrum methodologies.

Experience working with Product Owners, Business Consultants, Architects, and cross-functional engineering teams.

Experience designing enterprise-scale cloud-native Data Platforms.

Exposure to AI, Machine Learning, Advanced Analytics, and Modern Data Warehousing.

Experience driving Cloud Migration, Modernization, and Digital Transformation initiatives.

Microsoft Azure, Databricks, GCP, or other Cloud/Data certifications will be preferred.

Essential Personal

Traits

Excellent communication, presentation, and stakeholder management skills.

Strong analytical thinking and problem-solving abilities.

Strong leadership, mentoring, and coaching capabilities.

Ability to work independently while collaborating effectively with distributed and remote teams.

Excellent organizational and planning skills.

Timely communication and escalation of project risks, issues, and dependencies.

Curiosity to continuously learn, innovate, and adopt emerging technologies.

Strong ownership mindset with a passion for delivering high-quality enterprise solutions.

Ability to influence technical decisions and drive engineering best practices across teams.

Preferred

Qualifications

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

Relevant certifications in Microsoft Azure, Databricks, GCP, Cloud Architecture, Data Architecture, Big Data, or related technologies are preferred.

Why Join

Aays?

At Aays, we are passionate about helping organizations unlock the value of their data through modern Cloud, Data, AI, and Analytics solutions. You will have the opportunity to work on enterprise-scale transformation programs, solve complex business challenges, influence technology strategy, and collaborate with some of the industry's best consultants and engineers.

If you are passionate about architecting scalable cloud-native data platforms, driving enterprise data strategy, and building innovative solutions using modern technologies, we would love to hear from you.

📌 Data Architect (India)
🏢 Aays
📍 India