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.
2+ years’ experience with automation production systems (Ansible Tower, Jenkins, Puppet, or Selenium)
Working knowledge of databases and SQL Experience with software development methodologies and SDLC Candidate possess a problem-solving attitude and can work independently
Must be very organized, able to balance multiple priorities, and self-motivated
Experience in administration and configuration of API Gateways (e.g. Apigee/Kong) Apply cloud computing skill to deploy upgrades and fixes
Design, develop, and implement integrations based on use feedback.
Troubleshoot production issues and coordinate with the development team to streamline code deployment.
Implement automation tools and frameworks (Ci/CD pipelines).
Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of products.
Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
Deliver quality customer service and resolve end-user issues in a timely manner
Draft architectural diagrams, interface specifications and other design documents
Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy
Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio
Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
Drive digital innovation by leveraging 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, typically in sync with the budgeting or other capital planning processes
Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
Mentor team members in data principles, patterns, processes and practices
Promote the reuse of data assets, including the management of the data catalog for reference
Draft and review architectural diagrams, interface specifications and other design documents