Preferred Locations: Addison TX and Charlotte NC
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
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