Data Solution Architect (Houston)

Position Summary :

The Data Solution Architect is a key technical leadership role, responsible for developing and evolving new, integrated solutions that leverage our existing applications and newest data-centric technology, which will ultimately serve as the foundation for our next generation of advanced solutions.

Key Roles / Responsibilities :

• Own and lead the design and implementation of the Data Hub infrastructure, while managing its dependencies and integration with other systems.
• Manage and align in-house and external resources developing data-driven projects, accountable for both financial and schedule commitments.
• Ensure data-driven solutions are delivered within timeframe committed; working in conjunction with project sponsors to size and manage scope and risk.
• Contribute to work reviews with team members involving data-driven deliverables.
• Advocate and define cloud data strategy and architecture for data sources, analytics, and other capabilities supporting data-centric applications and future services (including AI).
• Develop and own the vision for advanced data capabilities across all products and services.
• Provide data architecture and design guidance to a distributed development teams, i.e., in-house and third-party
• Lead the design, development, integration, and debugging of data-driven systems and applications
• Perform requirements analysis, system / software design and analysis, development / software metric creation and analysis, system risk analysis, integration, and test metrics from a data-driven perspective

Required Education, Experience, and Qualifications :

• Bachelors degree in Computer Science or closely related field; Advanced degree is preferred
• Ten (10) years of experience in hands-on cloud and / or data solution development (Azure or AWS preferred in that order)
• Minimum 3 years in an architect role in previous large-scale software development projects, preferably SaaS delivery model
• Experience and / or exposure to desktop / hybrid / cloud deployment starting points, and leveraging SaaS architecture strategy to evolve to a cloud-centric delivery model.
• Extensive experience with developing and delivering commercial enterprise software, especially with IoT, data lake, and microservices in the stack
• Expert with cloud data services (e.g., Azure Data Lake / Databricks / Synapse; or AWS S3 / EMR / Glue / Redshift; or GCP BigQuery / Dataflow).
• Experience working with container frameworks used to run microservices or data processing workloads with Docker & Kubernetes