Roles:
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.
