Senior Data Architect - ETL / Data Warehousing

About the Role :

We are seeking a highly experienced Senior Data Architect to lead the design, development, and implementation of modern, scalable, and high-performing enterprise data platforms. The ideal candidate will have deep expertise in data architecture, governance, modeling, and cloud-based data solutions, with the ability to define strategy and drive large-scale data initiatives across hybrid and multi-cloud environments.

Key Responsibilities (KRA) :

• Design, implement, and optimize enterprise-grade data architectures for large-scale, hybrid, and multi-cloud environments.
• Develop and maintain data models, data pipelines, and data integration frameworks supporting analytical and operational needs.
• Define and enforce data governance, quality, and security standards across all data systems.
• Collaborate with business stakeholders and engineering teams to translate business requirements into scalable data solutions.
• Lead architecture reviews, technology evaluations, and platform selection for data management and analytics.
• Optimize data storage, processing, and retrieval strategies for high performance and cost efficiency.
• Mentor and guide engineering teams on best practices in data engineering, modeling, and architecture design.
• Implement ETL / ELT frameworks, integrating data from multiple structured and unstructured sources.
• Drive adoption of modern data technologies such as Spark, Snowflake, Databricks, BigQuery, and other cloud data warehouses.
• Collaborate with DevOps and cloud teams to implement IaC, CI / CD pipelines, and automated deployment of data infrastructure.
• Ensure data compliance, auditability, and lineage tracking in line with enterprise governance policies.
• Stay current with emerging trends and technologies to continuously improve the data ecosystem.

Key Skillsets :

(ref : hirist.tech)