Data Architect

Steady Rabbit; Ganapathipalayam; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Steady Rabbit is seeking a Data Architect to design, deploy, and manage the company’s data architecture. You will define storage, consumption, and integration across data entities and IT systems, while leading the offshore Data Team to deliver secure, scalable solutions.

You will work on modern data platforms, develop data models, and ensure governance and performance. A strong background in Python, SQL, and cloud services is required, with leadership experience in data projects.

Qualifications

• Strong SQL/NoSQL database knowledge and data modelling.
• Experience designing scalable data architectures and governance.
• Proficiency with cloud data platforms (AWS/Azure/GCP).
• Hands-on Python for data processing and analytics; PySpark a plus.
• Experience leading offshore data teams and mentoring teammates.

Responsibilities

• Lead offshore Data Team and drive scalable data solutions.
• Design and implement database models and data architectures.
• Ensure compliance with data governance and regulatory standards.
• Collaborate with stakeholders to define data requirements and deliverables.
• Provide technical guidance and mentorship to team members.

Skills

Data Modelling

SQL / T-SQL

Python

ETL/ELT

Data Warehousing

Data Analytics

Data Visualization

Agile/Scrum

Leadership

Project Management

Communication

Analytical Skills

Architecture Design/Techniques

Databricks

Tools

Snowflake

BigQuery

DBT

Prefect/Airflow

AWS/Azure/GCP

Databricks

PySpark

Power BI

Tableau

Job description

Job Description Data Architect

Job Title: Data Architect

Location: Coimbatore, Tamil Nadu

Shift timings: 2:00 PM to 11:00 PM IST.

Job Type: Full-Time

Experience: 8+ Years

Start Date: End of November

Job Summary

The Data Architect will be responsible for designing, creating, deploying, and managing the organization’s data architecture. This includes defining how data is stored, consumed, integrated, and managed across different data entities, IT systems, and applications.

The role will also involve leading the offshore Data Team and driving scalable, secure, and efficient data solutions.

Key Responsibilities

• Lead and manage the entire offshore Data Team.
• Design and implement effective database solutions and data models.
• Evaluate client operations, applications, and programming to identify database requirements.
• Ensure database implementation procedures comply with applicable regulations and standards.
• Design and organize information systems to support business and technical requirements.
• Prepare database design and architecture reports for management and executive teams.
• Oversee data migration from legacy systems to new solutions.
• Monitor system performance through regular testing, troubleshooting, and optimization.
• Recommend solutions to improve new and existing database systems.
• Collaborate with cross-functional teams and stakeholders to define data requirements.
• Provide technical guidance, mentoring, and knowledge-sharing to team members.

Mandatory Skills

• DBT
• Snowflake
• BigQuery
• Python
• Data Modelling
• SQL / T-SQL
• Prefect/Airflow
• Cloud (AWS/AZURE/GCP)
• Architecture Design/Techniques
• Databricks
• ETL/ELT
• PySpark
• Data Warehousing
• Data Analytics
• Data Visualization -DOMO/Power BI / Tableau
• Agile/Scrum
• IT Service Management
• Client Services
• Techno-Functional Management

Technical & Functional Expertise

• Database Management: Strong understanding of SQL and NoSQL databases, database architecture, design, and implementation.
• Data Integration: Experience integrating data from multiple sources while maintaining data consistency and quality.
• Data Governance: Understanding of data quality, data stewardship, governance, and compliance requirements.
• Cloud & Data Platforms: Experience working with modern cloud-based data platforms and solutions.
• Programming: Strong hands-on experience in Python. Knowledge in PySpark, R, Java, or similar programming languages used for data processing and analytics.
• Analytical Skills: Strong analytical and problem-solving abilities with the ability to translate complex business requirements into technical solutions.
• Communication: Excellent communication and stakeholder-management skills.
• Project Management: Ability to manage multiple initiatives, prioritize tasks, and meet deadlines.
• Leadership: Strong leadership skills with the ability to guide and mentor team members.

Preferred Experience

• Experience leading offshore data teams.
• Experience designing and implementing enterprise-level data architecture.
• Hands-on experience with DBT, Snowflake, Python, Data Modelling, Erwin, BigQuery, (AWS/GCP/Azure) and Prefect/Airflow.
• Experience with data migration and modernization initiatives.
• Experience working directly with clients and senior stakeholders.