About the role
- 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)
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, FiveTran, Meltano).
- Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experience with data governance frameworks and tools.