Data Solution Architect

Netlink Software Group America, Inc.; Gurgaon; Sur place; INR 3 600 000 - 6 000 000; Plein temps

Résumé du poste

Netlink Software Group America, Inc. is seeking an experienced Data Solution Architect to design scalable, secure data platforms and guide engineering teams.

You will translate business requirements into robust technical solutions, define data models and pipelines, and lead data governance, security, and cloud-native architecture across Azure, AWS, or Google Cloud. Strong knowledge of data ecosystems, data integration, data warehousing, ETL/ELT, and cloud-based data solutions will be essential

Qualifications

• Experience designing enterprise data platforms and architectures.
• Strong knowledge of ETL/ELT pipelines and data integration.
• Hands-on with cloud data platforms and big data technologies.

Responsabilités

• Design end-to-end data architectures aligned with business goals.
• Define data platform architecture, models, and integration patterns.
• Architect scalable data pipelines using batch and streaming tech.
• Develop data platforms with data lakes, warehouses, and lakehouses.
• Provide technical leadership to data engineering teams.

Connaissances

Data architecture

Data engineering

Data modeling

SQL

Python

Distributed processing

Outils

Azure Data Factory

AWS Glue

Apache Airflow

Databricks

Description du poste

Role Overview

We are looking for an experienced Data Solution Architect with strong expertise in data architecture, cloud data platforms, data engineering, and enterprise data solutions. The ideal candidate will be responsible for designing scalable, secure, and high-performance data architectures, translating business requirements into technical solutions, and guiding data engineering teams in implementing robust data platforms.

The candidate should have a strong understanding of modern data ecosystems, data integration, data warehousing, ETL/ELT pipelines, and cloud-based data solutions.

Key Responsibilities

• Design and implement end-to‑to‑end data architecture solutions aligned with business and enterprise requirements.
• Define data platform architecture, data models, data integration patterns, and data processing frameworks.
• Architect scalable data pipelines using batch and streaming technologies.
• Design modern data platforms using data lakes, data warehouses, lakehouse architectures, and cloud-native services.
• Evaluate and recommend suitable technologies, tools, and platforms based on business needs and technical requirements.
• Establish data governance, data quality, metadata management, data security, and compliance standards.
• Collaborate with business stakeholders, data engineers, data analysts, and cloud teams to define solution requirements.
• Develop architecture diagrams, high-level designs (HLDs), low-level designs (LLDs), and technical documentation.
• Optimize data platform performance, scalability, reliability, and cost efficiency.
• Provide technical leadership and architectural guidance to data engineering teams throughout implementation and deployment.
• Define best practices for CI/CD, infrastructure automation, monitoring, and operational support of data platforms.

Required Technical Skills

• Strong expertise in data architecture, data engineering, and enterprise data platform design.
• Hands‑on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Strong understanding of data warehousing, data lakes, lakehouse architecture, and ETL/ELT processes.
• Experience with SQL, Python, data modelling, and distributed data processing.
• Knowledge of Apache Spark, PySpark, Databricks, or equivalent big data technologies.
• Experience with data integration and orchestration tools such as Azure Data Factory, AWS Glue, Apache Airflow, or equivalent.
• Understanding of relational and NoSQL databases, data modelling, and data optimization techniques.
• Knowledge of data governance, security, access controls, data quality, and metadata management.