We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The Data Architect will be responsible for designing, creating, deploying, and managing the organization's data architecture. This role requires a deep understanding of data modeling, database design, data integration, and data governance.
Key Responsibilities:
-Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape.
- Data Modelling: 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.
- 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).
Technical Skills:
- Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server).
- 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
Soft Skills:
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work collaboratively in a team environment.
- Attention to detail and a commitment to data quality.