Senior Data Engineer & Analytics Architect (Azure, DaaS)

Woodforest Acceptance Solutions; The Woodlands (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Woodforest Acceptance Solutions is seeking a Senior Data Engineer & Analyst to design, build, and optimize data platforms powering our Data‑as‑a‑Service (DaaS) offerings. You will architect scalable pipelines, shape data models, deliver high‑quality datasets to customers, and generate insights to drive product and business decisions across internal and external clients.

This hands‑on role requires deep Azure expertise (Data Lake, Data Factory, Synapse, Cosmos DB) and strong SQL, Python, and data

Qualifications

• 5+ years of experience in data analysis, analytics, or business intelligence roles.
• Experience in fintech, payments, banking, or financial services.
• Bachelor’s degree or equivalent experience in a relevant field.

Responsibilities

• Architect and optimize data models, storage layers, and compute patterns for both operational and analytical workloads.
• Work with third party data engineering team to ensure optimal performance of data infrastructure.
• Implement robust data quality, validation, and monitoring frameworks.
• Ensure data systems meet high standards for scalability, reliability, and security.
• Manage change related to the data environment.
• Perform exploratory data analysis and build analytical datasets to support product development and business decision-making.
• Use Wisdom.ai and other analytical tools to generate insights, build dashboards, and support advanced analytics use cases.
• Partner with product, engineering, and business teams to translate ambiguous questions into clear analytical outputs.
• Contribute to the design and delivery of internal and external DaaS products, including data APIs, curated datasets, and automated reporting solutions.
• Define SLAs, data contracts, and quality standards for delivered datasets.
• Collaborate with product managers to prioritize features, define requirements, and ensure customer needs are met.
• Support customer onboarding, troubleshooting, and optimization of data delivery workflows.

Skills

Azure data technologies

SQL

Python

Data governance

Mentoring/leadership

Education

Bachelor's degree in Analytics, Statistics, Mathematics, CS, Economics, or related field

Tools

Azure Data Factory

Azure Data Lake

Cosmos DB

Synapse Analytics

Wisdom.ai

Job description

Woodforest Acceptance Solutions is seeking a Senior Data Engineer & Analyst to design, build, and optimize data platforms powering our Data‑as‑a‑Service (DaaS) offerings. You will architect scalable pipelines, shape data models, deliver high‑quality datasets to customers, and generate insights to drive product and business decisions across internal and external clients.

This hands‑on role requires deep Azure expertise (Data Lake, Data Factory, Synapse, Cosmos DB) and strong SQL, Python, and data