Data Architect

1 week ago

Ahmedabad, Gujarat, India Armakuni Full time ₹ 15,00,000 - ₹ 25,00,000 per year
  • Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape.
  • Data Modeling: Create and manage logical, physical, and conceptual data models to support various business applications and analytics. Database Design: Design and implement database solutions, including data warehouses, data lakes, and operational databases.
  • Data Integration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, consistency, and security.
  • Technology Evaluation: 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 worlds leading brands
  • Documentation: Create and maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. Performance Tuning: 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:

  • Helping project teams with solutions architecture, troubleshooting, and technical implementation assistance.
  • Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Minimum7to15yearsofexperienceindataarchitecture or related roles.
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Airflow).
  • Expertise with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
  • Knowledge of data integration tools (e.g., Informatica, Talend, Five Tran, Meltano).
  • Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experience with data governance frameworks and tools.

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