Solution Data Architect

Solution Data Architect

Solution Data Architect will play a pivotal role in designing, developing, and implementing comprehensive data solutions that align with the customers business objectives. You will be responsible for defining data architecture principles, creating robust data models, and ensuring the integrity, security, and availability of our data assets.

Responsibilities:

• Data Strategy and Planning: Develop and implement data strategies that support and align with the organization's goals and initiatives.
• Data Modeling: Design and create scalable and efficient data models, ensuring optimal performance, reliability, and maintainability.
• Architectural Design: Lead the architectural design of data systems and solutions, considering factors like security, compliance, and integration requirements.
• Data Governance and Compliance: Establish and enforce data governance policies, standards, and best practices to ensure data quality, privacy, and regulatory compliance.
• Collaboration: Collaborate with cross-functional teams including developers, analysts, and business stakeholders to understand requirements and deliver effective data solutions.
• Technology Evaluation: Research and evaluate new technologies, tools, and frameworks in the data space to recommend and implement the best-fit solutions.
• Documentation and Communication: Create comprehensive documentation for data architecture, designs, and processes. Communicate effectively with technical and non-technical stakeholders.
• Performance Optimization: Identify opportunities for performance optimization, data consolidation, and data storage improvements.
• Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior members of the data team.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Proven experience 10 years working as a Data Architect or in a similar role.
• Strong proficiency in data modeling, database design, and data warehousing concepts.
• Expertise in database technologies (SQL, NoSQL, etc.) and data management principles.
• Proficiency in cloud-based data platforms (e.g., AWS, snowflake, Azure, GCP) and associated services.
• Experience with data governance, compliance, and security standards.
• Excellent problem-solving skills and the ability to communicate complex ideas effectively.
• Strong leadership and mentoring abilities.

Preferred Skills:

• Experience with data streaming and real-time processing frameworks.
• Knowledge of machine learning and AI concepts related to data architecture.