Solution Architect

TRAXCEL, L.L.C.

Houston, TX, United States

19 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Microsoft Azure Data Architecture Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Distributed Computing Environment Identity and Access Management Python (Programming Language) Role-Based Access Control Azure Machine Learning

+14 more

Software Engineering Systems Integration Scripting Azure Data Factory Large Language Models Backend Data Lakes AI Platforms Data Management Machine Learning Operations Software Coding Azure Synapse Analytics Data Pipelines Databricks

Job description

We’re hiring a Senior Solution Architect to design and lead end-to-end data and AI solutions, from architecture to production. This is a hands-on, senior-level role for someone who can code, design systems, and has command across data engineering, software development progression, and AI. This role demands someone who has evolved from a Python developer into a data engineer and architect, blending hands-on coding expertise with high-level system vision., * Architect scalable solutions integrating data platforms and AI/ML systems, not just diagrams, but implementable designs.

Write and review backend code in Python; contribute directly to critical components.
Design and optimize data pipelines and lakehouse architectures on Databricks.
Lead Azure-native architecture decisions across compute, storage, networking, and AI services.
Define and enforce data governance, security, and compliance standards across every solution you architect.
Partner with engineering, data science, and business stakeholders to translate requirements into technical architecture.
Own architectural decisions on data quality, lineage, access control, and model governance.

Requirements

Demonstrated career progression evolving from core software development (preferably Python developer) into data engineering and subsequently into solution/data architecture.
8+ years in software/data engineering, with recent focus on solution architecture.
Strong backend development skills in Python (production-grade, not scripting-level).
Deep experience in data engineering, pipelines, ETL/ELT, distributed processing.
Comprehensive knowledge of AI/ML systems, model lifecycle, LLM integrations, MLOps.
Proven experience architecting solutions combining data platforms + AI capabilities.
Hands-on expertise with Databricks (Delta Lake, Unity Catalog, workflows).
Strong command of Azure architecture and ecosystem (Azure Data Factory, Synapse, ML services, networking, IAM).
Working knowledge of data governance frameworks, security best practices (encryption, RBAC, compliance standards like SOC2/GDPR/HIPAA as applicable), and audit/monitoring practices.
Ability to communicate architecture decisions to both technical and non-technical stakeholders.