Position: Data Architect -L3
Location: Ohio (Onsite)
Duration: 12+ Months
Need 15+ years of consultant!
Need local to Cincinnati and strong Azure data experience with 15+years.
Accountable for developing and delivering technological responses to targeted business outcomes. Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.
• 4+ years’ experience in the data development and principles including end-to-end design patterns
• 4+ years proven track record of delivering large scale, high quality operational or analytical data systems
• 4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers
• Any experience in a minimum of two of the following technical disciplines: data warehousing, big data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database mgmt
• Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
• Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51
• Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
• Define high-level migration plans to address the gaps between the current and future state
• Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions
• Analyze technology environments to detect critical deficiencies and recommend solutions for improvement
• Promote the reuse of data assets, including the management of the data catalog for reference
• Draft architectural diagrams, interface specifications and other design documents