Microstrategy Architect (Closed)
SkillStorm is seeking a MicroStrategy Architect for our client in Charlotte, North Carolina or Addison, TX. Candidates must be able to work on SkillStorm's W2; not a C2C position. EOE, including disability/vets.
Position Summary:
- Solution Design specialist for Data & Analytics technologies (Big Data operational (Hadoop Ecosystem), Big Data Analytics Business intelligence, ETL, Relational Data warehouses, MicroStrategy, Tableau. 8+ years of architecture experience in data & analytics ecosystem technologies like traditional relational database management systems, ETL, Big data (Hadoop), BI Analytics, Machine learning and AI technologies
Description:
- 8+ years developing software in PL/SQL, C, C++, Java, Scala, Ruby, and/or Python.
- 6+ years of hands-on experience with Oracle, MicroStrategy, Alteryx, Tableau, Hadoop, Hive, Spark, Sentry, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, S3, Ozone, Zaloni or similar technologies
- Experience in modern application development and deployment (Agile methodology, Automated Testing, Continuous Integration, Continuous Delivery)
- Implement the Hadoop data model to support MicroStrategy
- Understand SOR data and devise a load strategy
- Experience with large enterprise data warehouse architecture design including logical and physical model development.
- Experience designing solutions for multiple large data platform ecosystems
- Extensive experience in layered solutions and designs, diverse technical configurations, across multiple technologies and processing environments.
- Exceptional communication and interpersonal skills - including negotiation, facilitation, and consensus building skills; ability to influence and persuade, without direct control.
- Strong desire to drive change, and ability to adapt to change quickly.
- Ability to balance the long-term "big picture" and short-term implications of decisions.
- Ability to think strategically and relate architectural decisions/recommendations to business needs.
- Experienced across all phases of data modeling, from conceptualization to database optimization.
- Providing technical leadership for data architecture and design optimized for security, scalability, and sustainability
- Aligning data architecture with business and technology strategy and effectively communicating to business and technical partners across senior levels of the organization
- Working with business process and data governance teams to introduce and maintain data platforms, data governance and data security capabilities and documentation including establishing the roadmap
- Facilitating solution-driven discussions, lead the design of complex architectures, and find creative solutions through their knowledge of the domain, practical experiments, and Proof of Concepts (POCs).
- Acting as a control function to ensure adherence of designs to blueprints, architectural principles and enterprise standards
- Leveraging technical expertise to support vendor selection activities including recommendations of when to make the appropriate build vs. buy decisions.
- Sponsoring design and code reviews to ensure all non-functional requirements for a solution are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability).
- Building a unified data and analytics ecosystem that drives improved business decisions supported by transformative emerging technology architecture capabilities
- Reviewing and ensuring architectural designs are consistent, maintainable, flexible, and cost effective.
- Reviewing and ensuring data security and privacy standards are implemented including role-based security, encryption, tokenization, and obfuscation.
- Providing strategic guidance to senior leadership for data movement strategies, data obfuscation (data masking), record retention strategy (Deletion and Archival), data infrastructure/security, the operational data store (ODS) and the operational reporting strategy.
- Interpreting and delivering impactful plans that specify strategy and improve data integration, data quality and data delivery in support of business initiatives and roadmaps to achieve results.
- Setting standards for data management and conceive projects needed to eliminate the gap between current state and future goals.
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