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Peyton Resource Group

Data Solution Architect

Peyton Resource Group, Houston, Texas, United States, 77246

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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.

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 the 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 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

Bachelor’s 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 three 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.

Expertise 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.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Information Technology; Industries: Staffing and Recruiting

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Location: Houston, TX | Salary: $140,000.00–$160,000.00 (posted 1 day ago)

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