Architecture for Data Ingestion and Storage

Job Title: Architecture for Data Ingestion and Storage

Location: CT/Hartford

Duration: 6 Months

Job Description:

• Strong knowledge of database technologies, data modeling techniques, data warehousing principles, API interfaces and programming languages like SQL, Python, and Java.
• Need someone to develop the to be Architecture for Data Ingestion and storage. Someone who understands Data marts, API's, Digital Threads etc.
• Leverage their computer science and design skills to review and analyze the data infrastructure of an organization, plan future databases, and implement solutions to store and manage data for organizations and their users.

Skills and Knowledge:

• Technical Expertise: Strong knowledge of database technologies, data modeling techniques, data warehousing principles, API interfaces and programming languages like SQL, Python, and Java.
• Business Acumen: Understanding of business processes, business requirements, and how data can be used to drive business outcomes.
• Communication and Collaboration: Excellent communication skills to effectively convey technical concepts to both technical and non-technical audiences, and the ability to collaborate effectively with diverse teams.
• Problem-Solving and Analytical Skills: Ability to analyze complex data issues, identify root causes, and develop effective solutions.
• Data Security and Governance: Understanding of data security principles, data privacy regulations, and data governance frameworks.
• Data Modeling: Develop data models to organize and structure data effectively, ensuring it meets the needs of different business users and applications.
• Data Governance and Security: Define and enforce data policies and standards, ensuring data integrity, consistency, and compliance with regulations.
• Data Quality and Integration: Work to improve data quality, ensure data consistency across different systems, and facilitate data integration between various sources.
• Collaboration and Communication: Collaborate with IT professionals, business stakeholders, and data analysts to understand their needs and requirements, and communicate technical solutions effectively.
• Continuous Evaluation and Improvement: Monitor and evaluate the performance of the data architecture, identifying areas for improvement and recommending solutions to optimize data utilization.