Senior Data Model Architect
1 week ago
At Fulcrum Digital, we are seeking a highly skilled Data Architect to join our team. This role is responsible for developing and optimizing database models to store and retrieve company information.
The ideal candidate will have a strong background in data management concepts, data modeling, and database design.
We offer a competitive salary of $120,000 - $180,000 per year, depending on experience.
Job Responsibilities:- Data Strategy and Architecture:
- Develop and maintain the organization's data strategy and roadmap.
- Define and design the overall data architecture to support business objectives.
- Identify data sources, determine data quality requirements, and establish data integration and ingestion processes.
- Establish data governance policies, procedures, and standards.
- Ensure data security, privacy, and compliance with relevant regulations.
- Define and enforce data quality standards and data lifecycle management practices.
- Design and develop efficient data integration and ETL (Extract, Transform, Load) processes.
- Identify and implement appropriate data integration technologies, tools, and frameworks.
- Ensure data integration processes are scalable, reliable, and performant.
- Collaborate with data scientists and analysts to understand analytical requirements.
- Design and implement data models and structures to support analytical needs.
- Develop strategies for data aggregation, analysis, and reporting.
- Collaborate with cross-functional teams to understand their data needs.
- Work closely with business stakeholders to align data architecture with business goals.
- Communicate data architecture strategies, solutions, and recommendations to technical and non-technical audiences.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Proven experience as a Data Architect or a similar role.
- Strong knowledge of data management concepts, data modeling, and database design.
- Proficiency in data integration, ETL, and data pipeline development.
- Experience with cloud-based data platforms and technologies (e.g., AWS, Azure, GCP).
- Familiarity with data governance practices, data security, and privacy regulations.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced, dynamic environment.
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