- DataArchitecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape.

- DataModeling:Createand managelogical, physical, and conceptual data models to support various business applications and analytics.

DatabaseDesign: Design and implement database solutions, including data warehouses, data lakes, and operational databases.

- DataIntegration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. DataGovernance:Implementand enforce data governance policies and procedures to ensure data quality, consistency, and security.

- TechnologyEvaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes.

- Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the world s leading brands





- Documentation:Createand maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces.

PerformanceTuning: Optimize database performance through tuning, indexing, and query optimization.

- Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA)

Requirements

- Helpingproject teams withsolutions architecture,troubleshooting, and technical implementation assistance.

- Experiencewithbig data technologies (e.g., Hadoop, Spark, Kafka, Airflow).

- Expertisewithcloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

- Knowledgeofdataintegration tools (e.g., Informatica, Talend, FiveTran, Meltano).

- Understandingofdatawarehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experiencewithdata governanceframeworks and tools.

📌 Data Architect (Ahmedabad)
🏢 Armakuni
📍 Ahmedabad