Data Architect

Location: Ahmedabad, India

Department: Data Engineering

Experience: 8-12

•  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 world’s 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)

• 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, FiveTran, Meltano).
• Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery).  Experience with data governance frameworks and tools.