What are the responsibilities and job description for the Data Architect position at Incept Data Solutions, Inc.?
We are seeking an experienced Data Architect to design, build, and manage our data architecture and solutions. As a Data Architect, you will play a key role in defining how data is collected, stored, processed, and analyzed within our organization. You will collaborate with stakeholders from across the business to ensure that our data infrastructure meets both business needs and technical requirements. This is an exciting opportunity for a strategic thinker to shape the future of our data architecture.
Key Responsibilities :
Data Architecture Design :
Design and implement data architectures to support scalable, efficient, and secure data management.
- Develop data models, database structures, and data pipelines to meet business and technical requirements.
- Choose appropriate technologies and tools to manage data across multiple platforms (e.g., on-premise, cloud, hybrid).
Data Integration :
Architect and build data integration solutions to bring together data from diverse systems and sources.
Data Governance and Security :
Implement best practices for data governance, privacy, and security across all data initiatives.
Collaboration and Stakeholder Engagement :
Work closely with business analysts, data engineers, and data scientists to understand data requirements and translate them into architectural solutions.
Cloud and Big Data Solutions :
Design and implement cloud-based data solutions using platforms such as AWS, Azure, or Google Cloud.
Data Optimization :
Continuously monitor, evaluate, and improve data architectures to enhance system performance and reduce costs.
Documentation and Standards :
Maintain detailed and up-to-date documentation for data models, architectures, and solutions.
Qualifications :
Education and Experience :
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Technical Skills :
Proficiency in database design and data modeling (e.g., relational, NoSQL, graph databases).
Knowledge and Competencies :
In-depth understanding of data governance, privacy, and security best practices.
Soft Skills :
Strong analytical and problem-solving skills.
Preferred Qualifications :
What We Offer :