Senior Data Architect
3 weeks ago
Job Description :
- Lead the development and implementation of data governance frameworks and architectural designs.
- Ensure the integrity, security, and compliance of data across the organization.
- Establish and enforce data policies and procedures to support accurate and reliable data management.
- Design and oversee data models that support data integration, transformation, and reporting.
- Manage ETL processes to ensure efficient data extraction, transformation, and loading, maintaining high performance and data quality.
- Develop and implement data warehousing solutions that provide reliable and scalable data storage and retrieval.
- Leverage in-depth knowledge of AWS data stack technologies, including Amazon Redshift, S3, Glue, and others, to design and implement scalable and effective data solutions.
- Optimize AWS resources to ensure performance, cost-effectiveness, and scalability of data platforms.
- Drive the development and deployment of data products, ensuring they meet business requirements and deliver actionable insights.
- Oversee the lifecycle of data products from concept to deployment, including testing, validation, and continuous improvement.
- Apply Agile development methodologies to manage and deliver data projects effectively.
- Provide leadership and direction to the data team, fostering a collaborative and productive work environment.
- Ensure project milestones and deliverables are met on time and within budget.
Qualifications :
- Experience as a Data Architect or in a similar role, with a proven track record of designing and implementing data solutions.
Technical Skills :
- Extensive knowledge of AWS data stack (Redshift, S3, Glue, etc.) and experience in data architecture, data modeling, ETL processes, and data warehousing.
- Strong experience in the development and implementation of data products, demonstrating a focus on delivering high-quality, actionable data solutions.
- Deep understanding of Agile development methodologies and experience leading teams in an Agile environment.
- Excellent team management skills with the ability to guide and motivate a team of data professionals.
- Strong verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
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