Senior Data Architect

1 week ago

Dallas, Texas, United States Concero Full time

This is a unique opportunity to make a significant impact in the Revenue Management domain at Concero. As a Senior Data Architect, you will be responsible for defining technical direction and solution roadmaps for new applications. You will provide technical leadership for a team of engineers currently delivering new Data APIs, Structures, and Solutions.

This individual will have strong networking and collaboration skills that enable partnerships across various stakeholders, including Data & Analytics, Data Science, Product, and IT Solution teams. Strong relationships with these teams will enable cross-team collaboration necessary to build Certified Data Assets and other key Data Strategy components supporting our solution needs.

As part of the One Revenue Management program, this position will support the Front-Page News Project and related deliverables. You will help translate business requirements into solutions that align with the overall Data Strategy vision while meeting the needs of our Revenue Management partners.

This role requires the individual to stay informed of emerging capabilities, technologies, and their potential impact to the solutions we support, standards, and best practices. You will be responsible for defining technical roadmaps and strategies to maintain alignment across IT and our business customers.

  • Maintains effective relationships with all levels of company management, internal customers, and data stewards that promotes understanding and produces results for all stakeholders.
  • Leads estimating efforts in project planning; provides technical leadership to project teams and/or leads project teams within own area/department and across functional teams.
  • Takes an active role in applying advanced methods, theories, and research techniques to establish ongoing direction, specification, design, development, and implementation of technology vision and strategy.
  • Accurately scopes deliverables including technical dependencies, risks, and issues to ensure seamless delivery, technology effectiveness, and security.
  • Provides guidance and oversight on technical matters within a solution to ensure that the technologies are secure, interoperate, and connect appropriately and support company vision and strategy.
  • Collaborates with other Architects, Engineers, & Office of Architecture on solutions to improve Revenue Management Domain Solutions, including the overall quality and cost optimizations therein.
  • Establishes and/or revises, monitors, and establishes service level agreements (SLAs) to best support our client Solutions.
  • Listens to and evaluates customer needs to determine and provide high-quality solutions that align with customer expectations; identifies opportunities for improvement; ensures others are aligned with customer expectations and performance metrics.
  • Actively leads, coaches, mentors, and teaches other engineers; using influence, expertise, and leadership skills to support other teams as they implement data governance solutions.
  • Protects our customers, our employees, and our brands by incorporating security and compliance in all decisions; ensures security policy and procedure requirements are met; continuously identifies opportunities for improving security and implements strategies to improve our security posture.
  • Contributes to the development of strategic planning for the department and communicates clear, concise strategic vision.
  • Required: Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future.
  • Must be committed to incorporating security into all decisions and daily job responsibilities.
  • 8+ Years of related experience and providing technical guidance for a solution.
  • Experience leading other technical leaders.
  • Experience working with Kong and the API office building new solutions.
  • Experience administering Cloud Data Resources (including, but not limited to: Azure Data Factory, DevOps, EventHub, Function Apps, and other Azure technologies).
  • Experience with cloud data management tools (including, but not limited to: Databricks).
  • Experience with Python, SQL, and Scala.
  • Experience building Data APIs.

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