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GNX Digital Solutions (P) Ltd

Module No.244, 2nd Floor, Nila Building, Phase-I Campus, TECHNOPARK, , 695581

Data Architect (4+ Years Experience)

Closing Date:22,June 2026
Job Published: 12,June 2026
Contact Email: hr@gnxsolutions.in

Brief Description

We are seeking a skilled and experienced Data Architect with 4+ years of experience in designing, developing, and managing enterprise data architectures. The ideal candidate will be responsible for defining data models, establishing data governance standards, designing scalable data platforms, and enabling data-driven decision-making across the organization.

The candidate should possess strong expertise in data warehousing, database design, cloud data platforms, ETL/ELT processes, and modern data architecture principles.

Key Responsibilities

  • Design and implement scalable, secure, and high-performance data architectures.
  • Develop conceptual, logical, and physical data models for enterprise applications.
  • Define data standards, policies, and governance frameworks to ensure data quality and consistency.
  • Design and optimize data warehouses, data lakes, and lakehouse architectures.
  • Collaborate with business stakeholders, data engineers, analysts, and application teams to understand data requirements.
  • Architect and oversee ETL/ELT pipelines for efficient data integration and transformation.
  • Evaluate and recommend appropriate database technologies and cloud data solutions.
  • Ensure data security, privacy, compliance, and regulatory requirements are incorporated into data solutions.
  • Optimize database performance, scalability, and reliability.
  • Establish metadata management, master data management (MDM), and data lineage practices.
  • Support analytics, business intelligence, machine learning, and reporting initiatives.
  • Create and maintain architecture documentation, standards, and best practices.
  • Mentor junior data engineers and developers on data architecture principles.

Preferred Skills

Database Technologies

  • Strong experience with relational databases
  • Experience with NoSQL databases: MongoDB, Cassandra, DynamoDB, Redis

Data Warehousing & Analytics

  • Data warehouse design and implementatio.
  • ETL/ELT development and optimization. 
  • Experience with tools such as: Apache Airflow, Talend, Informatica, SSIS, dbt

Cloud Platforms

  • Experience with at least one cloud platform:AWS, GCP, Azure

Big Data Technologies

  • Apache Spark
  • Hadoop Ecosystem
  • Databricks
  • Kafka

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
  • 4+ years of experience in Data Architecture, Data Engineering, Database Design, or related roles.
  • Strong understanding of enterprise data management principles.
  • Experience in cloud-based data architecture and migration projects.
  • Knowledge of data governance, data quality, and security frameworks.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience with Lakehouse architecture and modern data platforms.
  • Knowledge of Machine Learning data pipelines.
  • Experience in real-time data streaming architectures.
  • Familiarity with DataOps and MLOps practices.
  • Exposure to GDPR, ISO 27001, SOC2, or similar compliance standards