Senior Data Architect

1 day ago

Kochi, India Velodata Global Pvt Ltd Full time

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 :- Strong experience in Modern Data Architecture and Enterprise Data Platforms.- Expertise in RDBMS, NoSQL, ETL, and Data Warehousing.- Proficiency in Data Governance, Data Modeling, and Performance Optimization.- Hands-on experience with Azure, AWS, or GCP cloud platforms.- Strong command over Python, SQL, and Spark for large-scale data processing.- Working knowledge of Cloud Data Warehouses such as Snowflake, BigQuery, or Databricks.- Familiarity with Power BI, Tableau, or Looker for data visualization (good to have).- Experience in Infrastructure as Code (IaC) and CI/CD for data pipelines (good to have). (ref:hirist.tech)

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