Credit.com · 3 hours ago
Data Architect
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Responsibilities
Develop a Data Strategy: Build and implement a forward-thinking data strategy that aligns with business goals and leverages existing data from various applications to provide meaningful insights.
Data Architecture Design: Design a scalable, robust data architecture that integrates data from disparate systems, ensuring data is stored, accessed, and used efficiently across the organization.
System Integration: Lead the integration of data from multiple sources, including cloud-based and on-premises systems, to create a unified data ecosystem.
Data Governance: Establish and maintain best practices for data management, security, privacy, and compliance, ensuring that the data infrastructure meets regulatory and organizational standards.
Data Modeling: Develop and optimize data models (logical, physical, and conceptual) that support business intelligence, analytics, and operational needs.
Data Pipeline Development: Design and oversee the development of data pipelines, ensuring high-quality data movement, transformation, and processing from multiple applications.
Stakeholder Collaboration: Work closely with key stakeholders, including business leaders, product teams, and technical teams, to ensure the data architecture supports business objectives.
Technology Selection: Evaluate and recommend tools, platforms, and technologies for data storage, integration, analytics, and visualization, ensuring alignment with organizational objectives.
Data Quality and Integrity: Implement processes to ensure data accuracy, quality, and integrity, and address issues related to data redundancy, inconsistencies, and performance bottlenecks.
Continuous Improvement: Monitor industry trends and evolving technologies, and continuously refine the data architecture and strategy to enhance capabilities.
Qualification
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Required
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
5+ years of experience as a Data Architect or in a similar role, with a focus on data strategy, system integration, and application data management
Strong experience in data architecture design and data governance practices
Proficiency in data modeling and working with relational databases, NoSQL databases, and data lakes
Hands-on experience with data integration tools, ETL processes, and API integration
Knowledge of cloud-based data storage and processing platforms (e.g., AWS, Azure, Google Cloud)
Familiarity with business intelligence and analytics platforms (e.g., Power BI, Tableau, Looker)
Experience with data security and regulatory compliance (GDPR, HIPAA, etc.)
Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions
Excellent communication skills, with the ability to work cross-functionally and present complex data concepts to non-technical stakeholders
Preferred
Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
Proficiency in programming languages such as Python, SQL, or R
Familiarity with machine learning and AI integration for predictive analytics
Company
Credit.com
Credit.com offers consumers a customized view of their credit standing and an actionable plan to improve and maintain their credit.
Funding
Current Stage
Growth StageRecent News
Crunchbase News
2022-06-07
2022-04-07
2022-03-31
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