Data Architect
1 month ago
As a Data Architect for our SaaS platform, you will play a crucial role in designing, implementing, and maintaining the data architecture that underpins our entire platform. You will be responsible for overseeing the complete view of data, ensuring its integrity, security, availability, and accessibility to support the platform's objectives and business needs.
Responsibilities- Develop and maintain the overall data architecture strategy for our SaaS platform, including conceptual, logical, and physical data models, to support current and future business requirements.
- Design, implement, and optimize database schemas and structures to ensure efficient data storage, retrieval, and manipulation while adhering to best practices and standards.
- Oversee the integration of data from various sources and systems into a unified data ecosystem, ensuring seamless data flow and consistency across the platform.
- Establish and enforce data governance policies, standards, and procedures to ensure data quality, security, privacy, and compliance with regulatory requirements.
- Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, Data dictionary, taxonomy to aid data traceability
- Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards
- Analyze and optimize data storage, processing, and retrieval performance to meet performance and scalability requirements, including implementing indexing, partitioning, and caching strategies.
- Implement robust data security measures, including encryption, access controls, and data masking techniques, to protect sensitive information and ensure compliance with data protection regulations.
- Plan and execute data migration projects, including Extract, Transform, Load (ETL) processes, to facilitate platform upgrades, migrations, and data consolidation efforts.
- Collaborate with analytics and reporting teams to design and implement data analytics solutions, data warehouses, and reporting frameworks to support business intelligence and decision-making processes.
- Work closely with cross-functional teams, including software development, infrastructure, and business stakeholders, to understand data requirements, address data-related challenges, and drive alignment with business objectives.
- Stay current with emerging technologies, trends, and best practices in data management, architecture, and analytics, and identify opportunities to enhance the platform's data capabilities and performance.
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