Data Architect
2 weeks ago
We are seeking a highly skilled Data Architect to lead the design, development, and management of our organization's data architecture. This role will be responsible for ensuring that our data systems are well-integrated, secure, scalable, and aligned with our business objectives.
Key Responsibilities:- Data Architecture Design: Develop and implement comprehensive data architecture strategies to support business objectives, including creating data models, data flow diagrams, and technical architecture designs.
- Data Integration: Ensure the seamless integration of data from various sources into a unified data infrastructure, facilitating efficient data usage across the organization.
- Database and Cloud Solutions: Design, implement, and manage database systems, data warehouses, data lakes, and cloud-based data solutions, such as AWS, Azure, and Google Cloud.
- Data Governance: Establish and enforce data governance policies, including data security, privacy, and compliance with relevant regulations, such as GDPR and HIPAA.
- Data Quality and Performance: Develop and monitor standards for data quality and performance, ensuring that data is accurate, complete, and reliable.
- Collaboration: Work closely with IT, software development, and business intelligence teams to ensure that data solutions meet organizational needs.
- Technology Roadmap: Stay up to date with emerging data technologies and make recommendations for new tools, platforms, and best practices to enhance the organization's data capabilities.
- Documentation: Create and maintain technical documentation, including architecture diagrams, data dictionaries, and design specifications.
- Problem Solving: Provide expert-level support for troubleshooting and resolving data architecture issues, including system performance and data security concerns.
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
- Proven experience (5+ years) as a Data Architect or in a similar role, with strong expertise in database management, data warehousing, and data modeling.
- Proficiency in database technologies, such as SQL, NoSQL, MySQL, and PostgreSQL, and big data platforms, such as Hadoop and Spark.
- Strong experience with cloud services, such as AWS, Google Cloud, and Microsoft Azure, and modern data architecture, such as data lakes and real-time data processing.
- Deep knowledge of data governance, security protocols, and relevant compliance standards.
- Strong understanding of ETL processes and data integration methodologies.
- Experience with data visualization and BI tools, such as Tableau and Power BI.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to work collaboratively in a team environment and lead data initiatives.
Airitos is an equal opportunities employer.
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