3 Days Left Senior Database Architect
3 weeks ago
Responsibilities:
- Understand business requirements and perform technical implementations by leveraging knowledge of enterprise applications and technical expertise.
- Strong understanding of data warehouse/data lake implementation methodologies/concepts (Ralph Kimball, Bill Inmon, Dimension modelling, etc.).
- Design and develop efficient techniques for fast, optimized data access and transfer of on-prem or cloud database systems.
- Design, implement, and test novel data structures, data search, query, and retrieval solutions to enable access to and processing of data access across different scales and complex datasets.
- Research and recommend latest and stable data architecture methodologies.
- Provide end user support, system maintenance/security and incident resolution to ensure stable and resilient business operations of enterprise applications.
- Ensure enhancements, changes and systems configurations are appropriately documented.
- Participate in agile team ceremonies including sprint planning, daily stand-ups, backlog grooming, and retrospectives.
- Maintain professional and technical knowledge by attending educational workshops, reviewing professional publications; develop personal networks, and participate in professional groups.
Requirements:
- Bachelor's degree in business, computer science, or a related field of study, or equivalent experience.
- 10+ years of relevant experience (on-prem and AWS cloud).
People Skills:
- Strong problem-solving and analytical skills.
- Comfortable as both a team member and individual contributor/independent thinker.
- Pragmatic problem-solving and decision-making skills with excellent written and verbal communication.
- Relentless passion and commitment to operational excellence, delivering within scope, on time, and within budget to exceed internal customer expectations.
Technical Skills:
- Creating data models (conceptual, logical, and physical) that specify how data is formatted, stored, and retrieved inside an organization.
- Architecting, designing, building, implementing, maintaining, and optimizing databases, tables, data structures to meet business and technical needs, obtaining approval from DBA and Dev Leads as needed.
- Collaborating and advising on appropriate database size, servers, and standardization in cloud (AWS) and on-prem.
- Monitoring and advising enterprise data operations team on ETL/ELT workflows, stored procedures, and other data pipelines to seamlessly transport data between systems (utilizing on-prem and cloud (AWS) data pipeline experience).
- Staying current with industry trends, best practices, and advancements in data management through continuous learning and professional development.
- Implementing data quality tools and practices to detect and resolve data issues.
- Ensuring that strict standards are followed throughout the life cycle of a database, including data modelling, data types, naming conventions, table types, connections, data security, etc.
- Ensuring adherence to regulations and guidelines for data systems.
- Utilizing AWS services like RDS (Relational Database Service), Aurora, and Redshift to manage SQL Server instances.
- Leveraging AWS IAM (Identity and Access Management), security groups for database access control.
- Monitoring AWS cloud health and resource utilization for SQL Server instances.
Preferred Qualifications:
- Experience with QAD or SAP ERP.
- Experience migrating databases from on-prem to cloud.
Physical Requirements: Sedentary Work - Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects.
Working Conditions: Generally agreeable working conditions such as those found inside offices or equivalent work areas for more than 70% of the time.
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